Fixed-term

Postdoctoral Researcher – Machine Learning

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The Laboratory of Virology and Antiviral Research (professor Johan Neyts) at the Rega Institute, KU Leuven, is seeking a highly motivated postdoctoral computational biology researcher to join our team in the context of the ERC Advanced Grant project ANTIVIRMAP. The project is carried out in a close collaboration with the Bioinformatics laboratory (professor Yves Moreau) at KU Leuven ESAT-STADIUS and Leuven.AI. Unit website Responsibilities Antiviral drugs are used to successfully treat infections such as with HIV and HCV. Yet, for most (life)-threatening and neglected infections, there are no such drugs. This leaves also critical gaps in epi- and pandemic preparedness. Antiviral drug discovery efforts typically focus on a few known targets. Yet, the biology of viral replication consists of many more complex processes that should harbor a wealth of undiscovered druggable targets. Thus, a large space of potential druggable biology is entirely ignored. We aim to fundamentally revolutionize antiviral target-discovery by uncovering this terra incognita. To that end, we developed high-throughput, multiplex, high-content multiparametric phenotypic antiviral assays. These allow to screen hundreds of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models that leverage the full complexity of the imaging data and that allow the selection of molecules that will serve for in-depth virological studies. Ultimately, this will result in the establishment of the first-of-its-kind “Atlas of Druggable Antiviral Targets”. You will join a dynamic, multidisciplinary and international virology-team with state-of-the-art infrastructure, but will at the same time also be embedded in a team with extensive expertise in AI and machine learning for computational biology and chemo-informatics. This will provide the opportunity to design novel machine learning approaches that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics data. You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI. You will extract and interpret fully detailed phenotypic fingerprints at whole-well and single‑cell resolution in virus-infected cell cultures. AI models will be used to cluster compounds and infer possible mechanisms of action, identify peculiar activity signatures and integrate cellular toxicity profiles to reduce false positives and guide compound prioritization. The models will be populated and iteratively refined by converging evidence from downstream validation (such as chemo-genetics, structural modelling, functional assays, thermal proteome profiling and omni-omics), creating an adaptive and constantly evolving discovery pipeline. AI-driven interpretation will exploit the full complexity of the dataset to expand the druggable antiviral target space. Profile We seek a researcher with strong machine learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology/immunology are a plus. Relevant skills include: • Experience in creating and evaluating machine learning models. • Familiarity with deep learning framework, such as PyTorch or Tensorflow. • Experience in data preparation, preferably in a bioinformatics context (data cleaning, filtering, etc.). • Expertise in data fusion and relevant algorithms (deep learning, generative AI, kernel methods, Bayesian methods).  • Preferably, experience with high-content imaging or cell imaging data (e.g., CellProfiler, convolutional neural networks). • Knowledge of chemo-informatics and drug discovery. • Strong practical statistical skills (batch effects, confounders, experiment design). You hold a PhD in machine learning, computer science, bioinformatics or equivalent. You combine strong analytical skills with the ability to work independently and lead collaborative efforts. You are a team player, proactive, solution-oriented, and comfortable taking ownership of complex projects. Excellent English communication skills and a strong publication record are essential. Offer We offer a fully funded position with a competitive salary in a friendly and stimulating environment within one of Europe’s most innovative universities, in Leuven, a historic city at the heart of Europe, next to Brussels. You will have access to cutting-edge technologies and a broad collaborative network. The contract offered is initially for one year, but can be extended, after a positive evaluation, for more years.  Laboratory of Virology and Antiviral ResearchESAT-STADIUSLeuven AI Interested? For more information please contact Prof. dr. Johan Neyts, mail: johan.neyts@kuleuven.be, Dr. Hendrik Jan Thibaut, mail: hendrikjan.thibaut@kuleuven.be or Dr. Lotte Coelmont, mail: lotte.coelmont@kuleuven.be. Please use the university’s job portal when applying for this position. For this application, the following information will be considered: • Please enclose a motivation letter with a summary of your research experience and indicate what attracts you in this position and your match with the desired experience. • Please mention contact details of two references in the application form. • CV • Diploma and transcripts of records (BSc, MSc, PhD) • Other information for consideration (e.g., a list of publications) You can apply for this job no later than August 31, 2026 via the online application tool KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address. Job application procedure Working conditions Career opportunities Do you have a question about the online application system? Please consult our FAQ or email us at apply@kuleuven.be Application Form

PhD student – Sustainable Biocontrol of Rice Grain Rot in Vietnam

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The Laboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM) at KU Leuven (Department of Microbial and Molecular Systems, Campus Group T, Belgium) is internationally recognized for its expertise in plant-microbe interactions, and the development of innovative biological control strategies for sustainable agriculture (https://iiw.kuleuven.be/onderzoek/pme-bim), and is part of the KU Leuven Plant Institute (https://www.kuleuven.be/plant-institute). Unit website Project Rice is the staple food for more than half of the world’s population. However, rice production is increasingly threatened by rice grain rot, a devastating disease mainly caused by Burkholderia glumae. In Vietnam’s Mekong Delta—one of the world’s most important rice-producing regions—this disease can cause yield losses of up to 75%, and its impact is expected to increase further under climate change. Current management options are limited, while reliance on chemical pesticides is becoming increasingly unsustainable. This ambitious project aims to develop innovative microbiome-assisted biocontrol strategies against one of the most destructive bacterial diseases affecting rice production in Southeast Asia. The project combines fundamental and applied research through three closely integrated research lines: (i) Characterization of Burkholderia glumae isolates collected throughout the Mekong Delta; (ii) Identification of beneficial microorganisms and microbiome signatures associated with healthy rice fields using high-throughput sequencing and advanced bioinformatics; (iii) Discovery, characterization and evaluation of indigenous bacterial biocontrol organisms capable of suppressing rice grain rot. The successful candidate will apply a broad spectrum of state-of-the-art techniques, including: microbial isolation and culturing, plant infection assays, microbiome sequencing and analysis, whole genome sequencing, comparative genomics and genome mining, qPCR method development, and applied bioinformatics. The project offers a unique opportunity to work at the interface of microbiology, microbial ecology, plant pathology, genomics, bioinformatics and sustainable agriculture, while contributing directly to global food security and environmentally friendly crop protection. The PhD will be conducted at KU Leuven, in close collaboration with Can Tho University (Vietnam). The research will result in a PhD degree at KU Leuven and is expected to generate multiple high-impact scientific publications, presentations at international conferences, and close interaction with academic and industrial stakeholders. Profile The ideal candidate: holds a Master’s degree in Engineering Technology, Bioscience Engineering, or a related discipline. has a strong interest in plant-microbe interactions, microbiome analysis, (comparative) genomics, and sustainable agriculture. enjoys combining laboratory research with computational data analysis. is eager to collaborate within an international multidisciplinary research consortium. is willing to present research at international conferences and publish in leading scientific journals. is enthusiastic about supporting teaching activities and supervising Bachelor and Master students. is proactive, creative, solution-oriented and able to work independently while functioning well within a team. is well-organized, flexible, critical-thinking and not afraid to take initiative; can work independently, but also has good teamwork skills; thinks in solutions, not in problems; has an excellent command of English (spoken and written). is eager to apply for an independent fellowship with the support of the PIs. Offer We offer a fully funded four-year PhD position (initial one-year appointment, renewable up to four years following positive evaluation) at one of Europe’s leading research universities. The successful candidate will join a dynamic and internationally recognized research group with extensive expertise in microbiome analysis, biological control, molecular microbiology, and next-gen sequencing. We offer access to state-of-the-art molecular biology and sequencing facilities, opportunities to perform international research visits and collaborate with researchers in Belgium and Vietnam, and to contribute to research with direct societal impact by developing sustainable alternatives to chemical pesticides and improving global food security. In addition, we offer an inspiring, interdisciplinary and supportive research environment with strong international collaborations, and you will be given support to participate in international conferences and publish your science in respected scientific journals.  Interested? For more information please contact Prof. Hans Rediers (hans.rediers@kuleuven.be). You can apply for this job no later than October 01, 2026 via the online application tool KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address. Job application procedure Working conditions Career opportunities Do you have a question about the online application system? Please consult our FAQ or email us at apply@kuleuven.be Application Form

PhD position on the PRISCILA project

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We are looking for a PhD student for the PRISCILA project. You must be fluent in Dutch.The Department of Endocrinology has a large multidisciplinary team of study nurses, clinical research assistants, diabetes educators, dieticians, and psychologists. Several members of the clinical department also conduct fundamental research at the Department of Clinical and Experimental Endocrinology at KU Leuven. Prof. K. Benhalima is an international expert in the field of diabetes and pregnancy. Prof. K. Benhalima has completed a large-scale Belgian multicenter study in which 2,000 pregnant women were recruited at an early stage of pregnancy with the aim of comparing different screening strategies for gestational diabetes (the BEDIP-N study). This is the largest study on gestational diabetes ever conducted in Belgium. Based on this research, new guidelines for screening for gestational diabetes have been developed in Belgium. Other research themes of Prof. K. Benhalima include pre-existing diabetes and pregnancy, new technologies (such as glucose sensors and smart insulin pumps), prevention of type 2 diabetes, and type 2 diabetes in young adults. Currently, six doctoral students are working in Prof. K. Benhalima’s research group. Project The PRISCILA project is funded by an ERC Starting Grant. Gestational diabetes (GDM) is the most common medical complication during pregnancy; it increases the risk of pregnancy complications and leads to an increased cardiometabolic risk for both mother and child in the long term. The current approach to GDM is based on a ‘one-size-fits-all’ approach, despite the heterogeneity in the etiology of the condition. Moreover, current risk stratification strategies are of limited value for clinical decision-making. A detailed characterization of the etiological subtypes of GDM is of crucial importance to (1) understand the underlying pathophysiology and the associated differences in complication risks and (2) lay the foundation for precision approaches to risk stratification and treatment.  My hypothesis is that a new form of risk stratification can be developed by accurately characterizing the different GDM subtypes. This is achieved through the integration—via artificial intelligence (AI)—of a large dataset comprising clinical and biochemical characteristics, continuous glucose monitoring data, novel biomarkers, metabolomics data, and polygenic risk scores. Within the framework of the PRISCILA project, I will assemble a large cohort of GDM patients (including a large group diagnosed early in pregnancy). In doing so, both established and innovative risk predictors will be collected prospectively, both during pregnancy and in the postpartum period. This yields an unprecedented multidimensional dataset that enables deep phenotyping of patients. I will analyze the data using AI to identify relevant associations with clinical outcomes and compare a new AI-based risk algorithm with the current stratification strategy. This project will provide important new insights into the characteristics, pathophysiology, and complication risks of the various GDM subtypes. This knowledge is also highly valuable for other research areas focusing on the development of new risk prediction models integrating AI and precision biomarkers. If successful, this will lead to a paradigm shift, allowing the treatment of GDM to be better tailored to the individual patient. A large-scale prospective cohort study will be conducted involving 1,000 women with gestational diabetes (GDM), of whom at least 40% have early-onset GDM. This is a multicenter study with the participation of at least 14 Belgian hospitals. The women will be followed from the beginning of pregnancy until one year after delivery, allowing for the detailed and prospective collection of clinical and biochemical data. This includes, among other things, fetal ultrasound data, an oral glucose tolerance test with 75 g glucose (performed at early and late stages of pregnancy, and 3 and 12 months after delivery), various validated indices for insulin sensitivity and β-cell function, HbA1c, the lipid profile, continuous glucose monitoring data, metabolomics, NIPT (non-invasive prenatal test for calculating polygenic risk scores), and Insulin-like growth factor binding protein 1 (IGFBP1). The diagnosis of GDM is made at an early stage of pregnancy based on higher cutoff values ​​than at a later stage, in accordance with the Flemish guidelines for GDM screening. For the sake of uniformity and cost savings, laboratory analyses are performed centrally at the UZ Leuven laboratory, and blood samples are temporarily stored in our existing biobank. For the data analyses, you will primarily focus on new biomarkers, polygenic risk scores, and metabolomics. As part of your PhD, you will support the study visits by assisting with clinical research, administering questionnaires, and collecting blood samples from participants at UZ Leuven. You will also help with database management and the coordination of the other Belgian centers participating in the study. In addition, as part of your PhD, you will have the opportunity to perform secondary analyses on various completed studies by K. Benhalima’s research group (such as the follow-up study of the BEDIP cohort, in which long-term metabolic risk in mothers and children is converted in relation to different degrees of hyperglycemia during pregnancy, and secondary analyses on the CORDELIA trial, an RCT comparing CGM with capillary glucose monitoring in pregnant women with GDM). Profile Master’s degree in Medicine, Midwifery, or Biomedical Sciences (preferably with a clinical focus; willingness to complete the MLT training for blood collection is required). We are looking for candidates with excellent academic results. To be eligible for an FWO grant, you preferably graduated less than a year ago. You speak Dutch and English fluently. We are looking for someone with a strong interest in clinical research who enjoys working with data and combines both analytical and clinical aspects. Offer Position as a full-time doctoral scholarship holder for 4 years, to start from late 2026 or early 2027. Interested? More information can be obtained from Prof. Dr. Katrien Fouzia Benhalima, email: katrien.benhalima@uzleuven.be You can apply for this vacancy until 30/09/2026 via our online application system. KU Leuven aims to be an inclusive, respectful, and socially safe community. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential in an ambitious research and teaching environment. In our pursuit of equal opportunities, we acknowledge the consequences of historical inequalities. We do not accept any

Doctoral Candidate position HORIZON-MSCA-DoctoralNetwork SPACE-MEL 3D multiomics

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Host laboratory:The PhD fellow will be based at KU Leuven, in the Single-Cell Spatial Proteomics Unit within the KU Leuven Institute for Single Cell Omics, under the supervision of Prof. Francesca Bosisio. The group combines clinical dermatopathology, melanoma research and spatial omics technology development, with a particular focus on tumour microenvironment organisation, immune-tumour interactions and spatial biomarkers in melanoma. KU Leuven’s LISCO environment brings together more than 65 groups across KU Leuven, University Hospitals Leuven and VIB, providing a strong interdisciplinary setting for single-cell and spatial omics research.The host laboratory offers access to advanced pathology and spatial biology infrastructure, including BondRx, Zeiss Axioscan, AKOYA PhenoCycler, Lunaphore COMET and DISSCOvery software for high-throughput image analysis. Through LISCO, the candidate will also benefit from platforms for single-cell multi-omics, spatial transcriptomics, sequencing, high-end microscopy and large-scale data processing. This environment provides the experimental, computational and translational framework required to develop robust 3D spatial multi-omics workflows for melanoma precision medicine. Secondments: This project is carried out in strong collaboration with the following groups, and visits to their laboratories are expected during the project. A willingness to travel and spend time abroad is therefore essential:4 months at AlpenGlow Biosciences Inc., United States (supervisor: Dr. Alexandra Alvarsson)3 months at Stellaromics Inc., United States (supervisor: Dr. Ye Fu) Website van de eenheid Project Host institution: Katholieke Universiteit Leuven (KUL-a), Department of Imaging and Pathology, and Spatial Proteomics Unit within the KU Leuven Institute for Single Cell Omics, Leuven, Belgium  Supervisor: Prof. Francesca Bosisio, Prof. Asier Antoranz Martinez  Co-supervisors:   Dr. Alexandra Alvarsson, AlpenGlow Biosciences Inc., United States (Industry)  Dr. Ye Fu, Stellaromics Inc., United States (Industry)  PhD project description at KU Leuven:   DC1 will develop 3D spatial multi-omics workflows to translate established 2D melanoma findings into three-dimensional tissue structures. Building on a proof-of-concept 3D multiplexed protein/RNA experiment from KU Leuven and AlpenGlow Biosciences, the project pursues three integrated objectives: i) optimise 3D multiplex immunohistochemistry and RNA-based spatial profiling in thick tissue samples; ii) develop disease-specific 3D RNA/protein panels with expanded marker coverage; iii) establish an automated pipeline for integrated 2D-to-3D analysis.  At KU Leuven, the candidate will adapt 2D multiplex immunohistochemistry workflows to 3D tissues by addressing antibody penetration, signal stripping, optical aberrations and out-of-focus signals. The project will implement cleavable antibody tags based on disulfide-linked fluorophores and combine them with RNA-scope probes for simultaneous protein and transcriptional target detection. During secondments at AlpenGlow Biosciences and Stellaromics, the candidate will receive training in advanced 3D tissue imaging, spatial transcriptomics and translatomics, and benchmark the newly developed workflow against state-of-the-art industrial technologies. Expected outcomes include an optimised 3D spatial multi-omics protocol, an analytical pipeline for 3D datasets, and validated translation of 2D melanoma insights into 3D tissue structures.  Profile Eligibility conditions:  Master’s degree in Bioengineering, Biomedical Sciences, Bioinformatics or related fields. Both wet and dry lab skills are required. The candidate should be able to program and perform computational analyses and able or willing to learn to carry out experiments in the wet lab.    Candidates are doctoral candidates (DCs) (i.e not already in possession of a doctoral degree at the date of the recruitment. Researchers who have successfully defended their PhD thesis but not yet received their degree are not considered eligible.  DCs can be of any nationality   Mobility rule: researchers must not have resided or carried out their main activity in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before their recruitment date. Compulsory national service, short stays such as holidays and time spent by the researcher as part of a procedure for obtaining refugee status under the Geneva Convention are not considered.  Required skills:   Hands-on expertise in wet lab, organoids, live tissue, imaging/microscopy and bioinformatics analyses including molecular and/or single-cell and/or spatial-omics analyses.  Experience using Python programming language. Experience with the scverse tools is a plus.  Interest in research on spatial omics, data analysis, pathology and melanoma/oncology  Hands-on expertise in (spatial) lipidomics, spatial multi-omics and data analysis tools is a plus  Good command of spoken and written English  Ambitious, hard-working and accurate  Above average motivation, teamwork and independency  Proficiency in the English language is required, as well as good communication skills, both oral and written. Successful candidates will need to provide an English test (e.g. IELTS, TOEFL, Cambridge English). You may be exempt if you are a national of a majority native-English speaking country, or have qualifications / degree that has been taught and assessed in English. The supervisor may also confirm that a candidate has the required level of English.  Offer One PhD position is available. The project has a duration of 36-months. The DC will receive a 36-month scholarship to cover her/his living costs. The gross amount of the doctoral scholarship is based on a living allowance that is dependent on a country correction coefficient which takes into account the cost of living in the country of the recruiting institution. For Belgium, the gross amount of the doctoral scholarship (tax-free) will be approximately €3.120,64 per month if the DC is single with no dependent family members. It will be higher if the DC has a registered partner without income and/or dependent child(ren); it will be lower if the DC has a registered partner with income.   The cost of all training activities, including all expenses related to travel and accommodation to attend annual meetings and other network organized events will be paid by the network through the Horizon Europe MSCA-DN grant. DCs will have access to a dedicated workspace and to research facilities. Bench/consumables costs to execute the research project will be covered by the institutions.  Interested? Interested candidates should apply by submitting the required documents via the KU Leuven platform. Please note that only applications submitted through this online system will be considered. Applications submitted via email will not be taken in consideration. Ensure that all requested documents are included, as incomplete applications will not be reviewed.  All applications will have to be written in English and will be checked for eligibility. Incomplete applications will not be considered.   Applications must be submitted by before 23rd August at 17:00 Central European time. All data provided by the applicants are processed according to GDPR regulations and will be used solely for the purpose of the selection of the doctoral candidates.  Required documents:  Motivation letter in English indicating their interest in the project and how this fits with their already acquired skills and research ambitions (limit of 2,500 characters)  Detailed curriculum vitae, including personal information, studies, list of publications, participation in research projects, extracurricular training, mobility, other qualifications or relevant skills.  Certified copy/ies of Academic Degree/s in the original language along with a certified translation into English, and/or Diploma Supplement.  Certified copies of official Academic Transcripts relating to all academic courses taken to earn every degree  (bachelor/master or equivalent), translated into English, and correspondent grade point average.  English

Doctoral fellow position in the Department of Veterinary and Biosciences

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ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students YOUR TASKS In the framework of current running research projects we are looking for an additional PhD fellow. In these projects we identified several differentially expressed microRNAs and circular RNAs by comparing good and badly developing embryos from cattle and horse. The aim now is to study the function of these small ncRNAs during early embryo development.Are you looking for a challenging job for the next 4 years? Are you fascinated by research and interested in genetic research related to animal and human infertility issues? We are specifically looking for someone to work on the topic “Functional analysis of small ncRNAs in biological fluids and culture media of bovine or equine embryos”. The choice of the species will be determined by the preference of the selected candidate.Would you like to work in an international team (all communication is in English) with other passionate researchers and postdocs? Then you might be the right candidate to apply for this job! WHAT WE ARE LOOKING FOR You have a scientific attitude and hold a European Master’s degree in biotechnology, medicine, veterinary medicine, biomedical sciences, pharmaceutical sciences, bioengineering, biology or related … by 1st October 2026. High degrees and hands on experience with molecular genetic techniques serve as a recommendation but are not mandatory. We are especially searching for a motivated, flexible and engaged team player.  Master students in their final year which will graduate by 1st October 2026 are encouraged to apply. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which – after a positive evaluation, will be extended to a total maximum of 48 months.  Your contract will start on 10/01/2026 at the earliest.  The fellowship amount is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship amount is determined by Team Personnel Administration based on family status and seniority. A grant that meets the conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales  All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers. Click here for a complete overview of all the staff benefits. INTERESTED? Send your cv, copy of your diploma (if already in your possession) and a motivation letter to luc.peelman@ugent.be. We do not accept late applications.As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.For more information about this vacancy, please contact prof. Luc Peelman (luc.peelman@ugent.be , +32 09/264 78 03)

Postdoctoral researcher in multimodal AI for population health

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Project overview  Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways to utilize this data in healthcare planning, personalized medicine and targeted recall-studies. In this position, you will be a part of an expanding team working on difficult and meaningful challenges together with clinicians. You get to work with multimodal nationwide Finnish health data from 7 million individuals including for example medication purchases, laboratory measurements, clinical notes and imaging. Your main project will involve building and studying multimodal health trajectories on a nationwide scale to catch increasing disease risk as early as possible. In addition, this data, and similar datasets from our collaborators across the Nordics, Baltics and Europe present a fantastic opportunity to pursue your own ambitious research goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders.  Key responsibilities  •    Design, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements, omics and genetics. •    Collaborate closely with other team members, and national/ international collaborators. •    Assist other team members in experiment planning, data processing and interpretation of results. •    Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. •    Take part in open science and code sharing.  Skills, expertise and qualifications  •    A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline •    Demonstrated machine learning experience in form of high-quality scientific publications, experience working with real-world health data is a plus •    Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms •    Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable •    Ability to work independently, as well as collaboratively in interdisciplinary and international research teams •    Willingness to supervise junior researchers and develop your supervision skills •    Excellent command of spoken and written English  Research group   The Machine Learning for Health team focuses on applying artificial intelligence to derive meaningful insights from large, real-world health and biomedical datasets. The team is led by Dr. Tuomo Hartonen. We have active collaborations with leading researchers in the EU, UK and US, with opportunities for international research visits during the employment. We collaborate closely with several research groups at FIMM and at ELLIS Institute Finland. We work with diverse international datasets ranging from Finnish and French national health registries to biobank studies such as FinnGen (Finland), UK Biobank (UK) and All of Us (United States).  Contract and salary  The position is initially offered for two years, and can be possibly extended. A trial period of six months will be applied. The starting salary will be ca. 3900-4100 euros/month, depending on the appointees’ qualifications and experience, and is based on the University of Helsinki salary system. The University of Helsinki offers comprehensive services to its employees, including occupational health care, support in access to high quality sports facilities, and vast opportunities for professional development. Standard Finnish pension benefits are provided for university employees.  Apply at latest by August 16th, 2026. The call may be extended until a hiring decision is made. How to apply: The application should include: 1.    A one-page letter stating the motivation for applying to this position.2.    A maximum two-page CV.3.    List of scientific publications.3.    An official copy of the PhD degree certificate.4.    Contact information of 2 references (name, relation to candidate, e-mail and telephone number) who have agreed to provide a written statement on behalf of the applicant. Note that the references will be contacted only at a later stage of the process.  To apply, please submit the application through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through SAP Fiori https://msap.sap.helsinki.fi. Please send us an application that you have crafted yourself, reflecting your own voice and thoughts. Applications generated by AI do not meet our expectations.  For further information on the position, please contact Dr. Tuomo Hartonen (tuomo.hartonen@helsinki.fi).   A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalized medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki – a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community. Application Form

Post-doctoral positions in salmonid fish ecological and evolutionary genomics and conservation

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The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities and ranks among the top 100 international universities in the world, and 8th in the world in Ecology. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. The Faculty of Biological and Environmental Sciences is Finland’s largest and most high-profile and extensive hub of research and teaching in the field. The Faculty educates experts to meet the needs of universities, research institutes, government, schools and the business sector. The positions Up to three post-doctoral positions are available at the University of Helsinki, Finland working in the research groups of Prof. Craig Primmer and Dr. Tutku Aykanat (http://www.helsinki.fi/evolution-conservation-and-genomics ) as a part of several related research consortia funded by the Research Council of Finland, the Kone Foundation and the ERC, with a focus on using the well studied Teno Atlantic salmon system as a model for adaptive management to assess biological and societal effects of recent anthropogenic changes on the Atlantic salmon metapopulation, alongside a detailed genetic and ecological evaluation of Pink salmon invasion in the river basin and the greater region. Successful applicants will likely have a strong background in research related to at least one of the themes listed below, but the specific combination of expertise is flexible, with the overall composition of the team being most important. Effects of management and ecosystem-related changes on salmon life-history phenotype and genotypesEvolutionary genomic approaches for assessing the effects of recent fishing management changes and invasive Pink salmon abundance on life-history phenotypes and genotypes.Relevant consortium publications: Erkinaro et al. 2019; Czorlich et al. 2018, 2022 Assessing sex-specific natural selection effects at key life-history loci due to anthropogenic and environmental factorsUse of long- term data on Teno salmon reproductive fitness to assess potential sex-specific effects of recent fishing management changes and invasive Pink salmon abundance selection on Atlantic salmon life-history traitsRelevant consortium publications: Czorlich et al. 2018; Mobley et al. 2019, 2020, 2024 Pink salmon genetics: determining the genetic basis of successful invasionUse of long-term scale material to identify genomic regions and structural variation potentially associated with higher invasion success.Relevant consortium publications: Erkinaro et al. 2026 Instructions for applying Appointees to the positions shall hold a doctoral degree and have the ability to conduct independent scholarly work. Suitable applicants will likely have a strong background in at least some of the themes and approaches listed above, although the species/system with which they have experience is less important. The ability to work as a part of a larger multidisciplinary research team addressing related questions is also important. Informal inquiries can be directed to Professor Craig Primmer (craig.primmer(at)helsinki.fi) and Dr. Tutku Aykanat (tutku.aykanat(at)helsinki.fi). Formal applications should include as a single pdf file:–    a CV including a list of publications and with names and contact details of at least two referees–    an approx. 1 page letter of motivation that includes specification of the theme (or themes) you are most interested in To apply, please submit your application using the University of Helsinki electronic recruitment system by clicking on the Apply now button. If you need technical support with the recruitment system, please contact recruitment(at)helsinki.fi. The deadline for applications is 23:59 EEST on 7.8.2026 and remote interviews of short-listed candidates are planned for 17-21.8.2026. The positions are available from 1.9.2026 but start dates up to mid 2027 will be considered (although an earlier start is preferred). Positions are available for up to three years, with continuations dependent on obtaining additional funding. Salary Due to different sources of funding, either a salary or a tax-free stipend may be paid. Salaries will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance with the overall starting salary amounting to c. 3700-4300 EUR per month, depending on the previous relevant research experience of the candidate. The tax-free stipend, paid by Kone Foundation directly to the candidate, amounts to €3200 monthly (including compulsory pension and insurance payments), and can be topped up with 10% salary (see above). A grant-funded researcher contract is made with a candidate, who receives tax-free stipend instead of salary. Why Finland? Finland is a member of the EU, has high quality free schooling (also in English), very affordable childcare, generous family benefits and healthcare, and has been ranked as the world’s happiest country six years running and the best country in the world for expat families and the City of Helsinki is in the world’s top ten most livable cities. The University of Helsinki is a top 100 ranked university in most ranking lists, is ranked 8th in the world in Ecology (Shanghai subject ranking) and is currently investing heavily in life science research (see https://www.helsinki.fi/en/helsinki-institute-of-life-science). The research team currently consists of 4 post docs, 4 PhD students and 4 research assistants with 9 different nationalities. The salmonid fish research field has traditionally lacked gender and cultural diversity, but the group is committed to helping to influence a change and we therefore strongly encourage applications from researchers with diverse backgrounds. Successful applicants are expected to adhere to the university and research group’s codes of conduct. Application Form

Professor of Cell Division

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Job descriptionThe University of Copenhagen is seeking an outstanding scientist for a professorship in Biology of Cell Division at the Department of Cellular and Molecular Medicine as soon as possible. The primary selection criterion will be research excellence and emphasis will be placed on the candidate’s ability to document a high level of original scientific work at an international level within the area of basic molecular mechanisms underlying human cell division, cytoskeleton dynamics, chromosome stability. The ideal candidate should have a strong international track record in areas such as: Cellular, molecular and genetic mechanisms required for accurate cell division Molecular and cellular mechanisms involved in the function of mitotic spindle Genetic and post-translational regulation of mitotic proteins High-throughput and single-cell live-cell imaging approaches to study human cell division Gene-editing, proteomics and microscopy-based analysis of mitotic motors and microtubule-associated proteins The position should complement and strengthen the Department of Cellular and Molecular Medicine in live-cell studies, and it is important that the candidate can prove expertise in state-of-the-art imaging and analysis of living cells. Furthermore, the candidate must be an internationally recognized and visionary scientist with a strong track record of international and interdisciplinary collaboration. The successful candidate will develop and lead an internationally recognized and extramurally funded research program and must therefore show a track record of securing external competitive funding. It is expected that the candidate will contribute to teaching in cell biology and supervision of both students and more senior researchers as well as engage in public outreach activities. The Department of Cellular and Molecular Medicine (https://icmm.ku.dk/) offers a dynamic, inclusive, and collaborative environment, with a commitment to research excellence and a thriving teaching program in Cellular and Molecular Medicine. The department consist of several independent research groups and research centers each performing high-impact research in cellular and molecular mechanisms. The department offers extensive mentorship to future research leaders and access to state-of-the-art lab facilities. The professor’s responsibilities will primarily consist of: Research, including publication/academic dissemination Research-based teaching, including associated examination Research leadership, including guidance and supervision of researchers Obligation to share knowledge with the rest of society, including participation in public debate Academic assessments Required qualificationsGeneral criteria apply to the appointment of Professor at the University of Copenhagen. The criteria (research, teaching, Innovation & societal impact, organisational contribution and leadership) are considered as a framework for an overall assessment of the applicant. In addition, each applicant will be assessed according to the specific requirements listed in this advertisement. Applicants are encouraged to read the University of Copenhagen’s guidance on the merit criterion Innovation and Societal Impact here Guidance on the merit criterion Innovation and Societal Impact for applicants and assessors Furthermore, the candidate must be able to document: Document a high degree of original academic production at an international level, including considerable contributions to the development of the academic discipline Manage research and other management functions, e.g. engage in the university’s external academic activities, as well as knowledge and technology transfer Provide research-based teaching The professor is also required to possess good interpersonal and communicative skills. Terms of employment The position is a fixed-term position limited to a period of 10 years. The average weekly working hours are 7.4 hours per week. Salary and other terms and conditions of appointment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant professional organisations. The position is covered by the Job Structure for Academic Staff at Universities 2025. Assessment material Curriculum vitae (Including information about external funding) Diplomas (Master’s, PhD and other relevant certificates) A complete list of publications Research plan (3‐5 pages) Uploads of maximum 10 publications to be considered in the assessment Teaching plan Teaching portfolio (Guidelines) Application procedureAfter the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee.  All applicants are then immediately notified whether their application has been passed for assessment. The Dean then appoints an expert assessment committee in order to make an assessment of the selected applicants for the specific post. Selected applicants are notified of the composition of the committee, and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at the university’s Job Portal. Please note that the applicant will be contacted if the assessment committee requires further documentation. The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities. The University of Copenhagen encourages all interested applicants to apply for this position. Please submit the application with the required attachments. Only online applications will be accepted. The closing date for applications is 23.59 p.m. CET, 9 August 2026   Application Form

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