Fixed-term

Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace We are reqruiting a full time post-doc to the department och diagnostics and intervention for a period of 2 years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in interdisciplinary collaboration with several senior researchers, doctoral students, and in close cooperation with a research group in Vienna. As a postdoctoral researcher you will work with data management and deep learning. Other administrative duties may also be included. Work responsibilities As a postdoctoral researcher you will work with data management and deep learning. Other administrative duties may also be included. Eligibility A person who has been awarded a doctorate or a foreign qualification deemed to be the equivalent of a doctorate in mathematics or computer science or comparible is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than the time at which the appointment decision is made. Since communication within the research group largely takes place in English, you should have a very good ability to communicate in English, both orally and in writing. You should have good communication and administrative skills, as the project involves many different parties. Strong scientific motivation is expected. Great importance will be attached to personal suitability. Additional useful qualifications Since appointment as a postdoctoral researcher is a career-development position for junior researchers, we are primarily interested in applicants who completed their doctoral degree no more than three years before the application deadline. If there are special reasons, an applicant who has completed their degree earlier than that may be considered. Special reasons include absence due to illness, parental leave, clinical practice, appointments of trust for a trade union organisation or other similar circumstances, and for relevant duties/assignments within the subject area. It is meritorious if you have specific experience working with medical images, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as well as experience in radiotherapy. More information about the position The appointment is a full-time, fixed-term position for two years in accordance with the terms of contract for fixed-term employment as a postdoctoral researcher. Application The application must include: A brief description of your research interests and a statement describing why you are interested in the position. CV List of publications Degree certificate from doctoral studies and other relevant degrees Contact details of two reference persons The application must be written in Swedish or English. The application must be made via our e-recruitment system Varbi and must be received latest 27 February 2026.   We look forward to receiving your application! Application form

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! If you have experience in research on canine behavioural biology and are skilled at analysing large datasets, this position may be the right fit for you! Work assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog population – including personality types in both dogs and owners, and how these relate to each other. In the long run, the results may provide knowledge relevant to breeders, rehoming organisations and dog owners, with the aim of improving the quality of life and welfare of dogs and their owners. As part of this position, you will also be involved in teaching within the subject of biology. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours. Qualifications To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you. It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration. You must have a PhD in ethology or a related field who wants to contribute to our research on canine behaviour. Documented research experience and knowledge of behavioural biology are required. You should also have solid experience working with large datasets, as well as documented skills in statistical analysis and data visualisation, for example work with regression models or GLM‑based analyses. Experience with research on dog behaviour and with carrying out behavioural tests is considered an asset. You must have excellent knowledge of English, both spoken and written. Knowledge of Swedish is an advantage, as the current study targets Swedish dog owners and the research questionnaire is in Swedish. You are an independent and analytical researcher with a strong ability to plan, carry out and follow up research projects. You work in a structured and thorough manner and have good collaborative skills. Furthermore, you have strong communication skills in both speech and writing, the ability to critically assess research results, and an interest in research communication and collaboration with different stakeholders. The workplace You will be working at the Department of Biology. The department is highly integrated, with overlap between research groups and subject areas, but can broadly be organised into five main research and teaching fields: Ecological Modelling; Conservation Biology; Zoology, Ethology and Animal Welfare; Evolution and Genetics; and Cell and Microbiology. You can read about the workplace here: https://liu.se/en/organisation/liu/ifm/biolo The employment This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The employment is full-time. Starting date by agreement. Salary and employment benefits The university applies individual salaries. State your desired salary in the application. More information about employee benefits is available here. Union representatives Information about union representatives, see Help for applicants. Application procedure Apply for the position by clicking the “Apply” button. Your application must be received no later than 31 March, 2026. Applications and documents received after the date above will not be considered. Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application. Please note that printed publications will not be returned. They will be archived at Linköping University. In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent. We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application! Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. Contact persons Lina Roth Senior Associate Professor lina.roth@liu.se Apply Now

The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. The Department of Marine Sciences, University of Gothenburg, (https://www.gu.se/en/marina-vetenskaper) combines extensive scientific competence with unique infrastructure to provide the most complete environment for marine science and education in Sweden. It is one of only a few such organisations in Europe. By integrating advanced research infrastructure with a strong link to societal needs and challenges, the Department contributes with new solutions to global ocean challenges. The Department of Marine Sciences conducts research, education, and innovation related to the science of the ocean and its resources. Its activities are based in Gothenburg, at two research stations Tjärnö Marine Laboratory, and Kristineberg Marine Research Station), and on the research vessel Skagerak. The Department has an interdisciplinary scope that encompasses marine biology, marine chemistry, marine geology, preservation of marine cultural heritage, and oceanography, working in all marine habitats from shallow bays and coastal seas to the open oceans. Our scientists and students often play leading roles in international collaborative research, including expeditions to Polar regions and the great seas of the world, as well as in our newly built laboratories with advanced equipment and complex analytical techniques. The Department also offers a wide range of undergraduate courses, a Bachelor’s degree, three Master’s degrees, and a Ph. D. programme, all within marine sciences. Subject area Marine geology Subject area description The postdoc will join an international and interdisciplinary team of researchers specialized in benthic foraminifera and sediment biogeochemistry from Sweden, France (LPG University of Angers) and Germany (University of Hamburg) and will be employed in project “FAME: Fjord Alien Microeukaryotes – New Drivers of Ecosystem Functioning?” funded by the Swedish Research Council (VR). Knowledge on marine alien and invasive species is highly biased towards larger organisms, most of which may impact ecosystems negatively. In contrast, hidden invaders (e.g. microbial eukaryotes such as foraminifera) may provide beneficial ecosystem functions i.e. carbon mineralization and nutrient removal. Project FAME aims to define contribution of invasive foraminifera, Nonionellasp. T1, to fjord nitrogen (N) and phosphorus (P) cycling, and identify their impact on fjord biodiversity. We seek to employ a 2-year postdoc with a strong background in living benthic foraminifera and/or marine biogeochemistry to improve our understanding of the role of invasive microeukaryotes in fjord nitrogen and phosphorus cycling. Duties The position involves the following tasks: Independently plan and perform fieldwork, labwork and analyses. Analyse sediment for living (CTG-labelled) benthic foraminifera and quantify their densities by using epifluorescent microscopy. Perform nutrient (nitrate and phosphate) analyses in sediment porewater by using centrifugation and 2D-gels. Analyse intracellular nitrate storage of foraminifera (by chemoluminescence and biovolume calculation) and measure foraminifera denitrification rates. Analyse intracellular phosphate storage (by colorimetric analysis) and evaluate the authigenic P-phases to define potential foraminifera contribution to sedimentary P-sink. Analyse presence of apatite in dead foraminifera shells. Communicate and collaborate with other project members to analyse data, present project findings at international conferences, and produce scientific papers. Some research-centered teaching at BSc and MSc levels as well as science outreach for public and schools can also occur as part of this position Eligibility The eligibility criteria for employing teaching staff are set out in Chapter 4 of the Higher Education Ordinance and in the Appointment Procedure for Teaching Posts at the University of Gothenburg. To be eligible for appointment as a postdoc, the applicant is required to have a doctoral degree, a doctoral degree in art or a foreign degree that is deemed to be equivalent to a doctoral degree. This eligibility requirement must be met before the employment decision is made. In the first instance, those who have completed their degree no more than three years prior to the end of the application period shall be considered. Those who have completed their degree more than three years prior to the end of the application period may also be considered in the first instance if special grounds exist. Special grounds relate to leave of absence due to illness, parental leave, commissions of trust within union organisations, service within the defence services or other similar circumstances, as well as clinical service or service/assignment relevant to the subject area. Assessment criteria To be considered for this position, applicants need to fulfil the following requirements: Doctoral degree in marine geology, marine ecology, biogeochemistry or equivalent or a foreign degree deemed equivalent to a doctoral degree in a relevant field. This eligibility requirement must be met before the employment decision is made Experience of previous research on benthic foraminifera (or other microeukaryotes) and/or in marine/sediment biogeochemistry Very good oral and written proficiency in English Proven ability to lead and co-author scientific publications We are particularly interested in candidates, who are willing to learn new methods and perform interdisciplinary research. In addition to the requirements listed above, the successful candidate should fulfil at least two of the criteria below: Good knowledge of sampling, preparation and analysis (lab-based and statistical) of benthic foraminifera and/or other microeukaryotes. Experience of colorimetric and chemoluminescence analysis techniques for pore-water and intracellular nutrient content. Experience using epifluorescent microscopy Experience using microelectrodes Finally, as the position involves fieldwork,a driver’s licence (category B)is beneficial. We also set a great value on candidate’s good social and communication skills. The candidates will be assessed following the requirements and specific eligibility criteria outlined above and, also by the following: Publication track record (in relation to academic age) Proficiency in English Social and communication skills Motivation and ability to successfully complete scientific projects and efficiently write scientific publications Ability to work both independently and as a part of a research team Willingness to disseminate research results outside of academia (to general public and schools) Willingness to contribute to teaching at MSc and BSc levels. The assessment will be based on the

The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. Doctoral position in Medical Science Project title: Molecular tools for improving infectious disease diagnostics The Department of Infectious Diseases is located at the Institute of Biomedicine at the Faculty of Medicine at Sahlgrenska Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university’s doctoral student pages https://www.gu.se/en/doctoral-studies Duties  Doctoral education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits. For more information about third-cycle studies at Sahlgrenska Academy, see https://www.gu.se/en/sahlgrenska-akademin/doctoral-studies Project: Antibiotic resistance remains one of the gravest threats to global health, causing over 100,000 deaths worldwide each year and exerting direct and indirect economic impacts in the billions. In Europe alone, an estimated 25,000 deaths are attributed annually to resistant bacterial infections. The spread of AMR is catalyzed by misuse and overuse of antibiotics, but also by changing societal and environmental conditions—including frequent travel, climate change, and aging demographics. Conventional culture-based diagnostics, while reliable, are slow and may not yield actionable information for critical clinical decisions, especially in acute and chronic care settings. Reducing diagnostic turnaround and increasing the resolution of pathogen identification and resistance profiling are crucial for minimizing mortality, suffering, and healthcare expenditures. Thus, disruptive methodological frameworks—anchored in molecular and structural biology, high-resolution mass spectrometry, and advanced bioinformatic approaches—are urgently needed. The primary aim of this PhD project is to advance the clinical diagnostics of infectious diseases by developing molecular tools and biosensor technologies that detect bacterial pathogens and antimicrobial resistance directly from patient samples. This work seeks to accelerate the identification and characterization of key biomarkers through genomics, mass spectrometry-based proteomics, and bioinformatics analyses. We are now looking for a candidate with relevant background within the subject area, for example experience with Risk‑Group 2 bacterial pathogens (cultivation, isolation and safe handling), plus molecular biology skills in genomics and proteomics, including optimised genomic DNA extraction for NGS and workflows for peptide‑ and protein-based proteotyping. Moreover, experience in bacterial genome sequencing with short‑ and long‑read platforms, downstream genome assembly and annotation is an asset, as is integrating mass‑spectrometry‑based peptide data with genome sequences to identify antimicrobial‑resistance and virulence biomarkers. The PhD student will work in the group of Roger Karlsson at the University of Gothenburg (UGOT), Institute of Biomedicine, Department of Infectious Diseases, and in close collaboration with PhD students in the BUG-ID project and with clinicians at Sahlgrenska University Hospital, Department of Clinical Microbiology. The method of choice for studying the surface of pathogens will be Lipid-based Protein Immobilization (LPI) (developed by Nanoxis Consulting AB), which has been successfully used to perform surface shaving of intact bacteria. The species-unique peptide biomarkers will be used to functionalize the graphene sensors in the BUG-ID project. For more information see https://www.gu.se/en/research/roger-karlsson Doctoral studies comprises four years of full-time study, and leads to a doctoral degree. Eligibility  Doctoral education requires general eligibility and, where appropriate, specific eligibility as set out in the general syllabus for the subject. The general eligibility requirements for doctoral studies are: 1. having completed a degree at second-cycle level, or 2. the fulfilment of course requirements totalling at least 240 credits, of which at least 60 credits must be at second-cycle level, or 3. the acquisition of equivalent knowledge in some other way, either in Sweden or abroad. Specific entry requirements for this subject, according to the general syllabus, are: having successfully completed the English B/6 course or is considered to have acquired equivalent knowledge through previous studies. Assessment criteria  The selection of applicants who meet the basic and specific eligibility requirements will be based on the ability to assimilate the doctoral studies. The assessment shall attach particular importance to documented qualifications for: – specific knowledge and skills within the subject area and related research fields – experience of scientific theory and relevant research methodology – scientific analysis and presentation verified through an academic paper, degree project, scientific journals or the like. Admission and employment  Once you have been admitted to doctoral studies, you will be employed as a doctoral student at the University of Gothenburg. The provisions for employment as a doctoral student can be found in ordinance SFS 1993:100. Initial employment as a doctoral student may apply for a maximum of one year, and may be renewed by a maximum of two years at a time. A doctoral student may be employed as a doctoral student for a maximum of eight years, but the total period of employment may not be longer than the equivalent of full-time education at doctoral level for four years. The employment is an MSCA doctoral student employment within a Marie Sklodowska Curie program with MSCA funding. In order to be approved for MSCA financing the applicant, at the time for the application, should not have resided in Sweden more than 12 months in the 3 years immediately prior to the reference date. Moreover, the applicant must be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. Doctoral students employed through the Marie Skłodowska-Curie programme will receive a salary in accordance with the Marie Curie rules for doctoral candidates during the duration of the fellowship (36 months). This means that the gross salary (i.e., after deduction of employer contributions but including the employee’s taxes) is approximately (depending on the exchange rate) 34,000 SEK/month (excluding any potential family allowance). During the remaining period of the studies, the doctoral student will be employed under a regular doctoral student contract, according to the agreed salary scale for doctoral candidates.  Location: Sahlgrenska Academy, Institute of Biomedicine, Department of Infectious Diseases. Extent: 100%. First day

There is a vacancy for a PhD Research Fellow in Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Adrenal Insufficiency (DC3) at the Ludwig Maximilians University Hospital Munich, Germany. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors:  Prof. Nicole Reisch, Prof. Martin Reincke Location:  Ludwig Maximilians University Hospital Munich, Germany Duration: 3 years (with possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme of the LMU Ph.D. Medical Research – Faculty of Medicine – LMU Munich This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases.  Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe. About the PhD position : This project is part of Work Package 1: Hormone dynamics within the ENDOTRAIN network. This PhD project focuses on optimizing therapy monitoring and individualized treatment in primary adrenal insufficiency using ambulatory endocrine and real-world, continuous datastreams based on chronobiologic rhythmicity and environmental challenges. About the project/work tasks: Key activities:  – Leverage dynamic hormone profiling (e.g., U-RHYTHM) and next-generation biosensors for ambulatory assessment in patients with primary adrenal insufficiency. – Conduct structured clinical phenotyping including endocrine diagnostics and monitoring parameters during physiologic stressors of daily life – Integrate wearable-derived physiological data (e.g., activity, heart rate, temperature) with endocrine test outcomes to optimise therapeutic monitoring. – Contribute to multimodal datasets feeding into the broader development of digital diagnostic tools in endocrinology. Research Fields:  Endocrinology, Chronobiology, Reproduction, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments:   University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythms. Qualifications and personal qualities: We are seeking highly motivated candidates with: A Master’s degree (MSc or equivalent) in Medicine, Biomedical Sciences, Physiology, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written and spoken English Good communication skills and capacity for interdisciplinary collaboration Applicants must fulfill eligibility criteria for LMU Munich-based PhD positions and be willing to participate in training activities across Europe. For further details, please visit our webpages: Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Adrenal Insufficiency (DC3) and the programme webpage: Endotrain Doctoral Training Network | UiB We can offer: – Competitive salary according to German Research Foundation (DFG) regulations – “E13 Stufe 2” – Full social security coverage in Germany – Travel and secondment budget included – Opportunities for international networking, industry exposure, and career development Your application must include: All applications must be submitted via the Jobbnorge portal  Your application must include the mandatory attachments from the ENDOTRAIN webpages – including: 1. Application form 2. CV  3. Mobility declaration  4. Motivation Letter Eligibility (MSCA Doctoral Network rules) Applicants can be of any nationality. Must not have resided or carried out a main activity in the host country for more than 12 months in the past 36 months before start of the PhD. Must hold a master’s degree (or equivalent) enabling doctoral studies. Must not already hold a doctoral degree. English proficiency required – transcripts of diplomas in English must be uploaded in Jobbnorge. In the “Jobbnorge-CV”: Only fill in the basics of your 1) personal details, 2) short information about your degrees (in the field “Education / academic qualifications”) – in order to minimise repetition with the CV attachment. It is a condition of employment that the master’s degree has been awarded (documentation must be provided). If you have not yet completed your master’s degree, you can apply provided completion of the final master exam before the position start date. Please submit a statement from your institution confirming the expected date of award of your master’s degree. For HR related questions contact the host institutions for the position you are applying (see link for the specific position) General information: Contact: Informal inquiries may be directed to Prof. Nicole Reisch and Prof. Martin Reincke Nicole.reisch@med.uni-muenchen.de and martin.reincke@med.uni-muenchen.de) For questions about the ENDOTRAIN programme, please contact Programme Manager Elizabeth Farmer (elizabeth.farmer@uib.no) For more information regarding technical matters connected to the application process, please contact HR Adviser Selina Sia Hausberg  Diversity and Inclusion MSCA -Endotrain has a gender equality plan where gender balance among employees is therefore a goal. We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply. It is also a goal to recruit people with immigrant backgrounds. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position. Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met. Apply Now

PhD position There is a vacancy for a PhD Research Fellow in Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Primary Aldosteronism (DC5) at the Ludwig Maximilians University Hospital Munich, Germany. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors:  Prof. Martin Reincke, Prof. Nicole Reisch Location: Ludwig Maximilians University Hospital Munich, Germany  Duration: 3 years (with possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research – Faculty of Medicine – LMU Munich This position is part of 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases.  Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe. About the PhD position : This project is part of Work Package 1: Hormone Dynamics of the ENDOTRAIN network and focuses on optimizing the diagnosis of primary aldosteronism using real-world, continuous physiological and hormonal data streams based on chronobiologic steroid rhythmicity and environmental challenges (i.e. salt intake). About the project/work tasks: Key activities: Leverage dynamic hormone profiling (e.g., U-RHYTHM) and next-generation biosensors for ambulatory assessment in patients with primary aldosteronism Conduct structured clinical phenotyping including endocrine diagnostics and monitoring parameters during low and high salt intake and during physiologic stressors of daily life Integrate wearable-derived physiological data (e.g., activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns Contribute to multimodal datasets feeding into the broader development of digital diagnostic tools in endocrinology. Research Fields:  Endocrinology, Chronobiology, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments:   University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm Qualifications and personal qualities: We are seeking highly motivated candidates with: A Master’s degree (MSc or equivalent) in Medicine, Biomedical Sciences, Physiology, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written and spoken English Good communication skills and capacity for interdisciplinary collaboration Applicants must fulfill eligibility criteria for LMU Munich-based PhD positions and be willing to participate in training activities across Europe. For further details, please visit our webpages: Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Primary Aldosteronism (DC5)  and the programme webpage: Endotrain Doctoral Training Network | UiB We can offer: Competitive salary according to German Research Foundation (DFG) regulations – “E13 Stufe 2” Full social security coverage in Germany Travel and secondment budget included Opportunities for international networking, industry exposure, and career development Your application must include: Your application must include the mandatory attachments from the ENDOTRAIN webpages – including 1. Application form 2. CV 3. Mobility declaration 4. Motivation Letter Eligibility (MSCA Doctoral Network rules) Applicants can be of any nationality. Must not have resided or carried out a main activity in the host country for more than 12 months in the past 36 months before start of the PhD. Must hold a master’s degree (or equivalent) enabling doctoral studies. Must not already hold a doctoral degree. English proficiency required – transcripts of diplomas in English must be uploaded in Jobbnorge. In the “Jobbnorge-CV”: Only fill in the basics of your 1) personal details, 2) short information about your degrees (in the field “Education / academic qualifications”) – in order to minimise repetition with the CV attachment. It is a condition of employment that the master’s degree has been awarded (documentation must be provided). If you have not yet completed your master’s degree, you can apply provided completion of the final master exam before the position start date. Please submit a statement from your institution confirming the expected date of award of your master’s degree. For HR related questions contact the host institutions for the position you are applying (see link for the specific position) General information: Contact: Informal inquiries may be directed to Prof. Nicole Reisch and Prof. Martin Reincke (Nicole.reisch@med.uni-muenchen.de and martin.reincke@med.uni-muenchen.de) For questions about the ENDOTRAIN programme, please contact Programme Manager Elizabeth Farmer (elizabeth.farmer@uib.no) For more information regarding technical matters connected to the application process, please contact HR Adviser Selina Sia Hausberg Diversity and Inclusion MSCA -Endotrain has a gender equality plan where gender balance among employees is therefore a goal. We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply. It is also a goal to recruit people with immigrant backgrounds. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position. Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met. Apply Now

The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. The Institute of Biomedicine is involved in both research and education. In both of these areas, we focus on fundamental knowledge of the living cell – what it consists of, how it works, how its function is directed by the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is composed of the following four departments: The Department of Infectious Diseases The Department of Microbiology and Immunology The Department of Medical Biochemistry and Cell Biology The Department of Laboratory Medicine At present, the institute has about 340 employees and approximately 450 million SEK in total assets. The Camuñas-Soler lab is recruiting a postdoctoral researcher for a project combining functional cell-based assays and single-cell transcriptomics to study kidney injury. The project is a collaboration with AstraZeneca supported by the Wallenberg Center for Molecular and Translational Medicine (WCMTM). The Camuñas-Soler lab is part of SciLifeLab and WCMTM and maintains an active network of international collaborators in academia and industry. The research environment provides access to state-of-the-art infrastructure and close interaction with both clinical researchers and AstraZeneca scientists. Subject area Single-cell genomics and functional imaging of kidney epithelial injury Subject area description The project aims to develop and apply novel experimental methods to study functional heterogeneity in proximal tubular epithelial cells (PTECs) during kidney injury. By combining direct measurements of albumin reabsorption with single-cell transcriptomics, the project seeks to identify molecular programs underlying epithelial dysfunction and to discover targetable pathways relevant to kidney disease. Duties The successful candidate will lead experimental work across multiple PTEC injury models, including toxic, metabolic, inflammatory, and hypoxia–reoxygenation stress. Key tasks include functional uptake assays using fluorescently labelled albumin, cell and tissue imaging, preparation of single-cell RNA sequencing libraries, data generation from primary human PTECs and acute kidney slices, and close collaboration with computational researchers for downstream analysis. Validation of candidate pathways in tissue slices will be an additional component of the work. Optimization of functional cell-based assays to study proximal tubular epithelial cell (PTEC) physiology and injury responses Performing experiments in cell culture systems and acute kidney tissue slices Measurement of albumin uptake and other functional readouts using fluorescence-based and imaging approaches Preparation of single-cell RNA sequencing libraries using established platforms (e.g. SmartSeq2, 10X Genomics, Parse) Generation and quality control of experimental data from functional assays, imaging, and sequencing experiments Collaboration with computational researchers for downstream data analysis and interpretation Design and execution of validation experiments using molecular biology and imaging-based methods Documentation and optimization of experimental protocols Presentation of results in group meetings, scientific conferences, and manuscript preparation Mentoring of junior researchers and students Eligibility The eligibility criteria for employing teaching staff are set out in Chapter 4 of the Higher Education Ordinance and in the Appointment Procedure for Teaching Posts at the University of Gothenburg. To be eligible for appointment as a postdoc, the applicant is required to have a doctoral degree, a doctoral degree in art or a foreign degree that is deemed to be equivalent to a doctoral degree. This eligibility requirement must be met before the employment decision is made. In the first instance, those who have completed their degree no more than three years prior to the end of the application period shall be considered. Those who have completed their degree more than three years prior to the end of the application period may also be considered in the first instance if special grounds exist. Special grounds relate to leave of absence due to illness, parental leave, commissions of trust within union organisations, service within the defence services or other similar circumstances, as well as clinical service or service/assignment relevant to the subject area. Assessment criteria This position is highly experimental and is suited for a researcher with strong hands-on experience in cell-based assays, tissue culture, molecular biology and cell microscopy. Prior experience with single-cell RNA sequencing, functional assays in epithelial cells, or work with primary human material is highly desirable. Experience working in interdisciplinary or translational research environments will be considered a strong asset. The ideal candidates should also have the following qualifications: PhD in Molecular Biology, Cell Biology, Biochemistry, Systems Biology, or a related life science discipline Strong hands-on experience in cell-based assays and tissue culture, preferably including primary human cells Experience with molecular biology techniques such as RNA extraction, qPCR, and NGS library preparation Experience with cell imaging, microscopy techniques, and associated analysis tools (e.g. Fiji) Knowledge of single-cell RNA sequencing methods is highly desirable Experience with functional assays in epithelial cells or kidney-related models is considered a merit Experience with flow cytometry and/or FACS-based cell sorting is considered a merit Experience analyzing high-dimensional biological data and programming languages (Python) is considered a merit Ability to work independently, plan experiments, and troubleshoot complex experimental workflows Strong collaborative skills and ability to work in an interdisciplinary research environment High level of motivation, accuracy, and organizational skills Fluency in English Regulations for the evaluation of qualifications for academic positions are given in Chapter 4, Section 3 – 4 of the Higher Education Ordinance Employment The employment is full time and temporary, two years with the possibility of one year’s extension, with placement at the Institute of Biomedicine. First day of employment as agreed. Selection process Help for appliants. Contact information If you have any questions about the position, please contact Dr. Joan Camuñas Soler: joan.camunas@gu.se Unions Union representatives at the University of Gothenburg can be found here:  https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande Application Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that