Fixed-term

Assistant/Associate/Full Professor – Computational Biology

Key responsibilities The Faculty of Science, Institute of Biology (IBL), is looking for candidates for a position as Assistant / Associate / Full Professor in Quantitative and Computational Biology or Bioinformatics in line with one or more of the leading themes of IBL: Bioactive Molecules, Host-Microbe Interactions, Development & Disease and Evolution & Biodiversity. The IBL performs research across all forms of life and has a strong capacity to generate diverse types of data, including omics data, analytical data, imaging data and ecological data. Through this position, we aim to strengthen research and methodological innovation capacities for data analysis and multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or computational modelling approaches. Moreover, the candidate will have a leading role in expanding and professionalizing the growing computational biology research community at the IBL and fostering strategic partnerships within and beyond Leiden University. Finally, the person appointed will be involved in shaping educational innovations to train the next generation of biologists to be proficient in data science and quantitative approaches. Research at our faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2300 staff and almost 5000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see www.universiteitleiden.nl/en/science  and  http://workingat.leiden.edu/ The Institute for Biology The research within the Institute of Biology Leiden (IBL) aims to work on the science base of biodiversity and health, which is reflected in our leading principle Harnessing Biodiversity for Health. We perform innovative curiosity-driven research to answer fundamental questions, and solutions-driven research to help solving major societal challenges. The latter include protecting nature’s biodiversity, creating sustainable biotechnology and agriculture and increasing good health. Located in a thriving scientific environment with our Faculty of Sciences,  Naturalis Biodiversity Centre, the Leiden University Medical Centre and the Leiden Bioscience Park, IBL offers an exciting, internationally oriented and inclusive place to work and study. Selection criteria PhD in computational biology, bioinformatics or a related field with a strong publication record A visionary (future) leader in the field, with an independent research line in quantitative and biological data analysis Excited to play a key role in any, or various, of our research themes. Proven ability to acquire research funding Proven methodological innovation capacities using network/systems analysis, machine learning, multimodal data integration or other areas relevant to the IBL Track record in collaboration and community building, ideally including across scientific (sub)disciplines and/or across multiple kingdoms of life. Clear educational vision on how to teach biology students quantitative and computational skills University Teaching Qualification or willingness to acquire this within the next five years What we offer Our goal is to work together to create a transparent and inclusive work environment in which everyone feels welcome and appreciated. Our organisation is always evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your personal development. You can count on an enjoyable job within the socially relevant world of education and research. The University’s challenging and international work environment is located just steps away from Leiden’s lively city centre or the bustling city centre of The Hague. We also want to work with you to devote attention to your health and vitality, for example with the fun activities we organise through Healthy University. We offer a full-time, one year term position, with the possibility of fixed term post. Salary range from € 6.512,- to € 10.441,-  gross per month (pay scale 13-16)  in accordance with the Collective Labour Agreement for Dutch Universities), depending on experience. Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break. Leiden University is strongly committed to diversity within its community and especially welcomes applications from members of underrepresented groups. Leiden University requires teaching staff to obtain the University Teaching Qualification (UTQ). If the successful applicant does not already  possess this qualification or its equivalent, he/ she must be willing to obtain this Qualification within two years. There’s a language proficiency of minimum level Cl required  for staff who will teach in English. What we value Promoting an inclusive community is central to Leiden University’s values and vision. We strive to be an open community in which all students and staff members feel valued and respected, and are able to fully develop themselves. We consider an inclusive academic environment, where students and staff can share their experiences and viewpoints, to be essential for the development of talent. Want to apply or find out more? If you want to apply straight away, click the application button. Enquiries can be made to Hubertus Irth, Scientific Director (directoribl@biology.leidenuniv.nl). If you have any questions about the procedure, please contact Christina Kamerman (HR@biology.leidenuniv.nl). Applications for this vacancy can be submitted via the blue button of our online system. Please ensure that you upload the following additional documents quoting the vacancy number: CV Motivation letter Contact details of 3 references Only applications received

PhD position in Equine Intestinal Microbiome and Resistome

A healthy intestinal microbiome is essential for equine health. In this project, we will investigate the intestinal microbiome and resistome and their roles in gastrointestinal health and the development and spread of antimicrobial resistance. By influencing the microbiome and resistome, we aim to promote positive health effects and limit the spread of antimicrobial resistance. This project may lead to new clinical interventions and provide insights to improve current antimicrobial stewardship programmes. Your job This PhD project is a collaboration between the Equine Internal Medicine group (Department of Clinical Sciences, CS) and the Clinical Infectiology group (Department of Biomolecular Health Sciences, BHS). It builds on previous work by Dr Aldert Zomer (BHS), Dr Mathijs Theelen (CS), Dr Rosa Houben (CS), and Prof Jaap Wagenaar (BHS). As a PhD candidate, you will be part of the Equine Internal Medicine group and closely collaborate with Clinical Infectiology. You will explore strategies to influence the microbiome and resistome (e.g. faecal microbiota transplantation, FMT) to promote positive health effects and limit the spread of antimicrobial resistance. You will work with existing datasets and set up new studies, collecting samples from horses and performing laboratory experiments followed by data analysis. Techniques such as 16S rRNA sequencing, shotgun metagenomic sequencing, and qPCR will be used to study the microbiome and resistome. You will conduct innovative, integrative research and have access to state-of-the-art facilities at Utrecht University Equine Hospital and within the Clinical Infectiology Research Group. You will work in an ambitious, motivated, multidisciplinary team of veterinarians, clinicians, molecular microbiologists, and bioinformaticians. In addition, you will co-supervise Master’s and Bachelor’s students during their research projects as part of your PhD. You will be enrolled in the Utrecht Graduate School of Life Sciences and receive training, supervision, and guidance for both your research and personal and professional development, providing an excellent foundation for an independent academic career. Your qualities Master’s degree in veterinary medicine, microbiology, bioinformatics, or a related field. Strong interest in (molecular) microbiology and antimicrobial resistance. Quick learner who thrives in a multidisciplinary research environment. Ability to work independently and foster both collaboration and independent thinking. Effective communication of scientific ideas, both written and verbal. Knowledgeable in your field and committed to keeping up with recent advances in the literature. Experience with bioinformatics analyses is an advantage. Proven proficiency in written and spoken English. Our offer A position for one year, with an extension to a total of four years upon successful assessment; ((go/no-go decision after one year); A full-time working week of 36–40 hours and a gross monthly salary between €3,059 and €3,881 (salary scale P under the Collective Labour Agreement for Dutch Universities, (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development, various types of leave, and options for sports and cultural activities. You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University. About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow. At the Faculty of Veterinary Medicine we train the veterinarians and researchers of the future, provide care for animals and conduct leading and societal relevant research. That is what we are good at. We see that the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make positive impact, both nationally and internationally. Our 1,500 students and 950 staff members inspire and strengthen each other. Our engagement connects us. The drive to, from an integral perspective, make the world a better place. Clinical Sciences At the Department of Clinical Sciences, you will work alongside approximately 150 veterinarians and a similar number of support staff. Approximately two-thirds of the veterinarians are specialists in various disciplines; the remaining one-third consists of interns, residents and PhD students. Together we are responsible for the education of veterinary students, provision of clinical services to horses and companion animals, and both clinical and more fundamental research in the areas of regenerative medicine, locomotion, genetics and reproduction. Biomolecular Health Sciences (Clinical Infectiology)  Research at Clinical Infectiology (KLIF) focuses on animal and zoonotic pathogens and the emergence of antimicrobial resistance which poses a threat for veterinary and public health. The generation and analysis of sequencing data is part of our daily work for epidemiological analysis which we use to determine search for virulence and antimicrobial markers, to assess the effects of interventions, and for diagnostics. KLIF offers a stimulating work environment at the forefront of scientific research. We do not only work with academic partners, but also with global organizations like the World Health Organization and the Food and Agriculture Organization of the United Nations. More information For more information, please contact Dr. Mathijs Theelen at m.j.p.theelen@uu.nl Candidates for this vacancy will be recruited by Utrecht University. Apply now As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. Knowledge security screening can be part of the selection procedures of academic staff. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now’ button. The application deadline is 29 March 2026. Apply Now

PhD Position in Integrative Exposome and Multi-Omics for Brain–Body Health

Are you interested in developing and applying integrative methodologies that combine exposome, multi-omics, and brain–body health data to advance our understanding of human health? Join us as a PhD candidate in Exposome–Omics Integration for Brain–Body Health at the Institute for Risk Assessment Sciences  (IRAS). Your job In this PhD project, you will study how environmental exposures influence brain–body health, focusing on omics layers as key predictors or modifiers of environmental effects on molecular and brain-related endophenotypes across the brain–body axis. The project will extend ongoing research by considering population diversity and heterogeneity in exposure profiles and biological responses. You will apply statistical modelling approaches suited to high-dimensional and non-parametric data, accounting for non-Gaussian distributions, complex dependency structures, and variability across populations. The work will involve the integration of exposome, multi-omics, and brain–body-derived data from diverse population-based cohorts to characterise the biological mechanisms linking environmental exposures to brain and body outcomes. The PhD candidate will be based in the Molecular Epidemiology and Data Science Group, led by Dr. Natalia Vilor-Tejedor, and will collaborate with researchers in epidemiology, neuroscience, data science, and molecular biology within the Institute for Risk Assessment Sciences (IRAS), as well as external partners within the UNITED consortium  and other international programmes. Your qualities You are a motivated and collaborative researcher with: a Master’s degree in Bioinformatics, Data Science, Statistics, Computational Biology, Epidemiology, Neuroscience, or a related field; experience in programming and quantitative data analysis using R and/or Python; experience with statistical modelling and the analysis of complex biological data; a strong interest in exposomics, multi-omics integration, and brain–body health research; strong scientific writing, reporting, and presentation skills; proficiency in written and spoken English. Candidates with the following experience are especially encouraged to apply: experience in the analysis of brain-related data (e.g., neuroimaging, cognitive, or other brain-derived measures); experience with integrative or multivariate analyses of high-dimensional biological data; familiarity with omics data processing or analysis pipelines; experience working in collaborative, interdisciplinary research projects. Our offer A position for one year, extended to four years upon a positive evaluation during the first year; a working week of 38 hours and a gross monthly salary between €3,059 and €3,881 (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development, various types of leave, and options for sports and cultural activities. You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University. About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow. At the Faculty of Veterinary Medicine we train the veterinarians and researchers of the future, provide care for animals and conduct leading and societal relevant research. That is what we are good at. We see that the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make positive impact, both nationally and internationally. Our 1,500 students and 950 staff members inspire and strengthen each other. Our engagement connects us. The drive to, from an integral perspective, make the world a better place. You will be based at the Institute for Risk Assessment Sciences (IRAS), working within the One Health Chemical research program, led by Professor Roel Vermeulen. This multidisciplinary research line brings together several interconnected groups, including Occupational Health, Environmental Health, Planetary Health, Exposure Science, and the Molecular Epidemiology and Data Science Group, the latter of which is where this position will be located. Our mission is to advance education and cutting-edge research to unravel the complex interactions between environmental factors—including chemical, social, physical-chemical, and lifestyle risk factors—and their effects on human and planetary health. By integrating multiple disciplines, we aim to transform scientific knowledge into actionable tools, insights, and solutions that promote sustainable well-being for individuals, communities, and ecosystems. IRAS is an interfaculty research institute spanning the Faculties of Veterinary Medicine and Medicine. It is dedicated to education and research on the human and environmental health risks associated with exposure to potentially harmful agents. Our research is structured around three core domains: Toxicology, Environmental Epidemiology, and Veterinary Public Health. More information For more information, please contact dr. Natalia Vilor-Tejedor at n.i.vilortejedor@uu.nl. Candidates for this vacancy will be recruited by Utrecht University. Apply now As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. If you are enthusiastic about this position, just apply via the ‘apply now’ button. Please enclose: your motivation letter; your curriculum vitae; the names, telephone numbers, and email addresses of at least two referees. The application deadline is 23 March 2026. Apply Now

Teaching Fellow in Forensic Science

At University of Hull, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in University of Hull workplace. These include people from global majority backgrounds; people who have a declared disability; LGBTQI+ people; and women particularly for our Grade 9 and 10 roles. Known for its academic excellence and state of the art facilities, the University of Hull are looking for individuals to play their part in tackling the big issues facing humanity. We are research leaders in clean energy, flood resilience, cancer and wound care and the fight against modern slavery. We change the world for the better. With a Commitment to Excellence in Teaching and Student Success, we pride ourselves on our dedication to meeting the diverse needs and aspirations of our students. We have been recognized with a TEF Gold award and consistently high National Student Survey results, underscoring our commitment to delivering top-tier education. As staff, we play a pivotal roles in the evolution of our university ensuring we are key players in the academic world. The job duties and responsibilities listed below are intended to describe the general nature of the role.  The duties and responsibilities and the balance between the elements in the role may change or vary over time depending on the specific needs at a specific point in time or due to changing needs in the department.  Candidates should note that there may not be an immediate requirement to carry out all the activities listed below. Overall Purpose of the Role The standard academic role at the University includes a combination of teaching, research, scholarship and administration. While all roles will combine these areas of work, the relative weight of each will vary from level to level and over time for individual role holders. At this level post holders will provide teaching and undertake assessment for a specified module or modules. Staff at this level will teach as a member of a teaching team within an established programme of study, with the support of a mentor as per induction procedures The role holder may oversee postgraduate students and act as a personal tutor for students within the department. Main Responsibilities Teaching and Learning Provide support to colleagues engaged in the teaching process. With assistance and support, carry out teaching within a clear and established programme. With assistance and support, develop own teaching materials. Set and mark assignments. Contribute to the development of examination questions. Assess student progress and provide feedback. Research and Scholarship Reflect on practice and the development of own teaching and learning skills. Relationships and Team working Liaise with colleagues and students. Join appropriate internal networks. Communication Deal with routine communication using a standard media. Communicate information and ideas to students. Write handouts and other basic learning support materials. Planning and Organisation Plan own day-to-day work within the framework of the agreed programme. Co-ordinate own work with that of others to avoid conflict or duplication of effort. Contribute to the planning or teaching programmes. Additionally the post holder will be required to: Fulfil the employees’ duties described in the University’s health and safety policies and co-operate with the health and safety arrangements in place within the department. May be required to undertake specific health and safety roles on request e.g. Display screen equipment assessor, departmental safety officer, fire warden etc. Show a commitment to diversity, equal opportunities and anti-discriminatory practices. This includes undertaking mandatory equality and diversity training. Comply with University regulations, policies and procedures. Where a candidate cannot demonstrate experience of teaching and /or they do not already hold a Postgraduate Certificate in Academic Practice, they will be required to undertake a Postgraduate Certificate in Academic Practice if successful.  Proven experience of teaching would include sufficient breadth or depth of specialist knowledge in the discipline and of teaching methods and techniques. Please note that this is a part time (22 hours per week), fixed term position for 12 months. Salary range: £33,002-£38,784 (pro rata) Please find the full job description here. Please note that the positions closes at 00:01am on Tuesday 17 March. To ensure your application is considered, please ensure that you submit your application in enough time. If you’d like to discuss the role informally, please email Professor Roger Sturmey e: R.Sturmey@hull.ac.uk If you would like to be part of our future or have any queries, then please get in touch today – Talent@Hull.ac.uk

Multiple PhD positions in the ThromboRisk MSCA Doctoral Network

Job Description Are you ready to shape the future of personalized medicine? Do you want to work at the intersection of computational modeling, vascular biology, and clinical innovation? The ThromboRisk Doctoral Network offers an exceptional opportunity to join a European-wide research initiative tackling one of the most pressing challenges in cardiovascular health: thrombosis. Funded by the Marie Skłodowska-Curie Actions (MSCA) under Horizon Europe, ThromboRisk brings together 17 leading universities, industry, hospitals and research institutes to train 18 Doctoral Candidates (DCs) in a highly interdisciplinary and collaborative environment. About the ThromboRisk Network ThromboRisk is built on the vision of developing multi-level thrombosis risk prediction models, from cellular dynamics to organ-level hemodynamics. The network integrates in silico, in vitro, and in vivo approaches to understand, predict, and ultimately treat thrombotic diseases. Each DC will contribute a unique piece to this puzzle, supported by: A full PhD program at a host institution Secondments at academic, clinical and industrial partners across Europe Network-wide training schools and workshops Supervision by leading experts in the field A personalized Career Development Plan Challenge-based learning principles Job Requirements We are seeking ambitious, curious, and collaborative researchers who: Hold a Master’s degree (or equivalent) in a relevant field Have not yet obtained a doctoral degree Meet the MSCA mobility rule: not resided/worked in the host country >12 months in the 36 months immediately before their recruitment date. Are proficient in English (C1 level) Conditions of Employment Full-time employment for 36–48 months (depending on national regulations) Competitive salary and allowances based on local labour agreements but matched with MSCA regulations: Living allowance: € 4,010/month (gross/gross) Mobility allowance: € 710/month Family allowance: € 660/month (if applicable) Additional benefits depending on host institution (e.g. pension, parental leave, relocation support) A vibrant, international research community with strong ties to industry and clinical practice Information Available PhD Projects Each project is embedded in the ThromboRisk framework and includes secondments at partner institutions. Below is an overview of the available positions: Project 1 – Personalized hemodynamic modelling of carotid artery stenosis for stroke prediction – by TU/e Project 2 – Patient-specific estimation of thrombus properties in AAAs – by TU/e Project 3 – Hemodynamic modelling of arteriovenous grafts – by Maastricht University Project 4 – Modelling iliofemoral vein thrombosis – by Maastricht University Project 5 – In vitro/ in silico models of thrombus formation (link will follow) – by University of Amsterdam Project 6 – Cellular mechanics in thrombus formation – by KU Leuven Project 7 – In-silico thrombosis risk in medical devices – by Charité – Universitätsmedizin Berlin Project 8 – Surface properties and platelet adhesion – by Charité – Universitätsmedizin Berlin Project 9 – Thrombosis in aortic dissection – by University College London Project 10 – Thrombosis-on-a-chip for interventions – by University College London Project 11 – Multi-scale physics of thrombus dynamics (link will follow) – by Transilvania University of Braşov Project 12 – Multi-modal AI modeling of thrombosis (link will follow) – by Transilvania University of Braşov Project 13 – Musculoskeletal influence on DVT – by Sano – Centre for Computational Personalized Medicine Project 14 – AI-enhanced sensitivity analysis – by Sano – Centre for Computational Personalized Medicine Project 15 – Clot contraction and thrombus stability – by University of Leeds Project 16 – Non-invasive thrombus characterization – by University of Bern/Inselspital Bern Project 17 – Bioprosthetic valve thrombosis  (closed) – by University of Bern Project 18 – Catheter-based thrombolysis in PE (closed) – by University of Bern Application How to Apply Please apply via the local vacancy portal of the hosting institution (links are listed above under “Available PhD Projects”). Please note You can apply online. We will not process applications sent by email and/or post. A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines. Please do not contact us for unsolicited services.

PhD Position in Structural Biology of the Neuronal Synapse

Job description A 4-year position is available for a PhD candidate in the research group of Dimphna Meijer, Department of Bionanoscience, Delft University of Technology, the Netherlands. The long-term goal of our research is to understand synapse assembly and disassembly at the molecular level, during health and disease. We address questions such as: What is the underlying structural basis of synapse formation? What happens at the nanoscale in a diseased brain? We have recently determined several cryo-EM structures of synaptic cell adhesion molecules that together reveal part of a molecular recognition code. In this project, we take a bottom-up approach to study synapse assembly: we will reconstitute minimal, well-controlled synaptic contacts and subject them to detailed structural characterization using cryo-electron tomography (cryo-ET), and complementary light microscopy methods. Specific objectives are: Setting up cryo-ET FIB SEM workflow for reconstituted synapses Visualize nanoscale architecture of reconstituted synapses High-resolution structure determination of synaptic CAM pairs Confirmative structure-function studies in primary neurons The successful applicant will be the driver of the project and aim for detailed structural characterization of synapse assembly with a bottom-up approach. State-of-the-art equipment, including high-end light and (cryo-)electron microscopes, as well as advanced mammalian cell culture facilities are available in our department. We are an international team of multidisciplinary scientists. We aim for a high-impact, supportive environment, where talented people work together to solve neurobiological questions. Job requirements  We are looking for a highly motivated and goal-oriented researcher that is willing to take on new challenges. The candidate has a M.Sc. degree in nanobiology, biochemistry/biophysics, structural biology, or related field. The ideal applicant has experience with electron microscopy or structural biology approaches, and is interested in applying cryo-electron microscopy and cryo-electron tomography to neurobiological questions. Cryo-EM/Cryo-ET experience is a strong plus but not required. The candidate should be fluent in English and motivated to work in an ambitious and collaborative research team. TU Delft (Delft University of Technology)  Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Applied Sciences  With more than 1,100 employees, including 150 pioneering principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we educate innovative students in broad Bachelor’s and specialist Master’s programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers. Click here to go to the website of the Faculty of Applied Sciences. Conditions of employment  Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3059 – €3881 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. Additional information If you would like more information about this vacancy or the selection procedure, please contact Dr. Dimphna Meijer, Principal Investigator, via D.H.M.Meijer@tudelft.nl. Application procedure Are you interested in this vacancy? Please apply no later than 16 March 2026 via the application button and upload the following documents: Letter of motivation (generic letters will be disregarded) Detailed CV Reference checks are part of the selection process after the initial application stage You can address your application to Dr. Dimphna Meijer, Principal Investigator. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements. Please note: You can apply

Postdoctoral Fellow position in the project “Fermentations Optimized by Rational Models to Improve Plant-based Substrates”

Your function We are seeking a Postdoctoral Researcher in Bioinformatics to join the Bioinformatics Group at Vrije Universiteit Amsterdam as part of the FERMI project (“Fermentations Optimized by Rational Models to Improve Plant-based Substrates”), funded by the NWO Perspectief programme. FERMI is a large interdisciplinary collaboration between academic partners and industry, aiming to improve the quality, nutritional value, and sensory properties of plant-based foods through optimized fermentation processes. Within this project, the postdoctoral researcher will focus on computational approaches to link metabolomic profiles to taste and sensory outcomes, and on the integration of multi-omics data, including genomics and proteomics, to better understand and predict fermentation-driven transformations. You will work closely with experimental scientists, data scientists, and industrial partners, contributing to the development of data-driven models that connect molecular-level changes to functional and sensory properties of food. Your duties The postdoctoral researcher will focus primarily on research (approximately 80–90%), and strongly interact with other team members. To ensure good interactions within the project the person will be embedded within two groups on VU campus (SystemsBiologyLab/Chemical and Pharmaceutical Sciences and in the Bioinformatics group). Key responsibilities include: developing and applying bioinformatics and statistical methods to analyze metabolomics data in relation to enzyme identification, taste and sensory profiles integrating heterogeneous omics datasets (genomics, proteomics, metabolomics) using reproducible and FAIR-compliant data workflows contributing to the development of predictive or explanatory models for fermentation outcomes collaborating closely with experimental researchers within FERMI and with external academic and industrial partners publishing research results in high-quality peer-reviewed journals and presenting findings at international conferences co-supervising MSc and PhD students where relevant contributing to project meetings, reporting, and consortium-wide activities Your profile We will base our selection on the following criteria: a PhD degree in Bioinformatics, Computational Biology, Systems Biology, Data Science, Computational Metabolomics, or a closely related field demonstrated experience with omics data analysis, preferably including metabolomics experience or strong interest in multi-omics data integration (e.g. combining genomics, proteomics, and metabolomics) solid programming and data analysis skills (e.g. Python, R, Unix-based workflows) an international research profile, evidenced by publications in relevant journals ability to work effectively in an interdisciplinary and collaborative research environment good communication skills in English Experience with sensory data analysis, microbial metabolism, or food-related research is considered a strong asset but is not mandatory. As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset. We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements. What do we offer? A challenging and impactful postdoctoral position within a high-profile national and international research programme that bridges academia and industry. The position is embedded in a vibrant and international research environment at VU Amsterdam. In return for your efforts, we offer you: a position for at least 0.8 FTE and a temporary employment contract for the duration of 3 years. Your employment contract will initially last 1 year. After a successful evaluation, the appointment will be extended for an additional 2 years a salary of minimum € 3.546,00 (Scale 10) and maximum € 5.538,00 (Scale 10) gross per month, on a full-time basis. This is based on UFO profile Researcher 4. The exact salary will depend on your education and experience We also offer you attractive fringe benefits and regulations. Some examples: a full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata 8% holiday allowance and 8.3% end-of-year bonus solid pension scheme (ABP) contribution to commuting expenses optional model for designing a personalized benefits package Interested Are you interested in this position? Please apply via the “Apply” link on the VU Amsterdam vacancy website before 21/03/2026. Applications should include a CV, a short motivation letter, and contact details of at least two referees. For questions about the position, please contact: Name: Halima Mouhib Position: Associate Professor E-mail: h.mouhib@vu.nl For questions regarding relocation to Amsterdam and working at VU Amsterdam, please contact: Name: Sara Veldhorst Position: Relocation Advisor E-mail: internationalstaffsupport@vu.nl Applications received by e-mail will not be considered. Apply Now

Postdoctoral Fellow position on Modelling Global Marine Phytoplankton-Virus Interactions

What are you going to do? As a postdoctoral researcher for PHYVIR’s modelling research, you will add viruses to a global ecosystem model (MIT’s DARWIN model), coupled to an ocean circulation model (MITgcm). The model will use a trait-based approach both for the viruses and the phytoplankton. Specifically, using information on phytoplankton-virus interactions from the literature, from PHYVIR lab experiments and field studies, and from mechanistic virus-host interaction models developed by the PhD contributing to PHYVIR’s modeling research, you will implement a multi-virus model to assess how (different) viruses affect distributions and the seasonal dynamics of phytoplankton functional groups, total phytoplankton biomass, succession and plankton diversity across ocean provinces.  The ultimate aim is to obtain a better understanding of how viruses affect marine carbon sequestration and nutrient cycling at the global scale under present and future conditions. Tasks and responsibilities: Add marine viruses to a global ecosystem model; Perform model simulations on Dutch high-performance computing infrastructure (SURF); Analyze model outcomes using available observational datasets; Write proposals to acquire additional computing resources and data storage on Dutch high-performance computing infrastructure; Integrate results obtained by the other PHYVIR PhD students, postdoc and the larger PHYVIR team; Actively collaborate with researchers at MIT, including a research visit to the US; Present your results at meetings and scientific conferences; Publish your results in international scientific journals; Contribute to teaching and to supervision of MSc students (max 10% of the time). Your profile We are looking for an enthusiastic candidate who enjoys quantitative analyses and modeling, and has a keen interest in marine viral ecology, phytoplankton host-virus interactions, and biogeochemical cycles. You are well-organized and have a collaborative personality while also being able to work independently. What do we require? A PhD in marine ecology, marine biogeochemistry, oceanography, climate science, environmental physics, computational science, or closely related discipline; Experience with running large-scale numerical ocean models used in marine ecology and/or biogeochemistry and analyzing their output; Experience with adding biological complexity to such models is advantageous; A demonstrated ability to work with programming languages such as Python, Matlab, or C++; Demonstrated publication record in relevant scientific areas; An intrinsic motivation to increase our understanding of marine ecosystems and carbon cycling; Strong oral and written communication skills in English. Our offer A temporary contract for 38 hours per week for a period of 12 months, with the possibility to the extend the contract for another 24 months upon a positive evaluation of your performance. The preferred starting date is the summer or fall of 2026. At the beginning of your employment, we will draft a career development plan that includes a description of both short-term and longer-term career goals and identifies possible training opportunities and (international) meetings. For this position the University Job Classification profile Researcher 4 applies. The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,546 to €5,538 (scale 10). In addition, you will receive a 8% holiday allowance and 8.3% year-end allowance. The Collective Labour Agreement of Universities of the Netherlands is applicable. Besides the salary and a vibrant and challenging environment at Science Park, we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses; 7 weeks birth leave (partner leave) with 100% salary; partly paid parental leave; the possibility to set up a workplace at home; a pension at ABP for which UvA pays two third part of the contribution; the possibility to follow courses to learn Dutch; help with registration at UvA- Housing for a studio or small apartment when you’re moving from abroad. Are you curious to read more about our extensive package of secondary employment benefits, take a look here. Your application & contact If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the ‘Apply’-button on the vacancy’s webpage. We accept applications until and including 22 March 2026. Applications should include the following information (all files besides your cv should be submitted in one single pdf file): a detailed CV including a list of publications and the months (not just years) when referring to your education and work experience; a letter of motivation; the names and email addresses of two references (e.g., your PhD or postdoc supervisors). Only complete applications received within the response period via the link below will be considered. A knowledge security check can be part of the selection procedure. (for details: national knowledge security guidelines) The interviews will be organized in two rounds. Potential candidates will be invited to the first round of online interviews. The first-round interviews will be held in the week of 13-17 April. In the second round we will invite 2-3 selected candidates to visit the UvA in early June. Do you have any questions, or do you require additional information? Please contact: Dr. Cara Nissen, c.nissen@uva.nl Apply Now

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