PhD students (multiple positions) Artificial Intelligence within Public Health Research

The Robert Koch Institute – that's around 1,500 people from over 52 countries with one goal: to protect public health. We collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode.

Get started now

Apply directly through the public service employment portal at: www.interamt.de

Apply now interamt.de

Our team ZKI “Centre for Artificial Intelligence in Public Health Research” is looking forward to your application! This is a part-time position with 25.35 hours per week (65 % of a full-time position), with the remainder of the time being reserved for you to work on your PhD research. A total of 7 positions are planned.

We offer you the opportunity to work on exciting research projects for the benefit of Public Health with the qualification goal of a PhD after 3 years, as well as integration into one of our interdisciplinary, innovative and international teams. You will receive extensive support in building your professional network, personal development and career planning. For legal reasons, the specific duration of each individual contract (maximum 3 years) is based on the individual availability of time within the meaning of § 2 (1) of the Wissenschaftszeitvertragsgesetz (WissZeitVG).

Your job

Conduct scientific research in the field of artificial intelligence with a particular focus on Public Health, e. g.:

• independent work on an exciting research project at the interface of AI, medicine and bioinformatics, e. g.:
  • further development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data
• Collaboration in the development of algorithms/methods and development of corresponding software tools
• Presentation of research results at national and international congresses and symposia
• create scientific publications as well as project and research reports

A complete list of available topics can be found on the ZKI-PH website.

Your professional profile Formal requirements

• a completed scientific university degree (master's degree or state examination) in a relevant (information) technical, scientific, medical, public health field or similar

In the case of foreign educational qualifications, we require a certificate of equivalence with a German qualification.

Skills and experience

• Experience in quantitative data analysis and in handling complex bodies of data
• in the use of at least one programming language (e. g. Python, Java ...)
• Language skills (CEFR-Level): English at least C1, German at least A2 or the willingness to acquire further German language skills - we support you with language courses

We look forward to receiving your detailed application documents for ID 1420262 / reference number 44/26 by 30.04.2026 exclusively via www.interamt.de.

Apply now interamt.de

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Doctoral researcher in AI and Bioinformatics

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

Your role

The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in complex neurological and cancer disorders.

Your profile

• The candidate will have an MSc or equivalent degree in biostatistics, bioinformatics, computational biology, machine learning, or related subject areas
• Prior experience in large-scale data processing and statistics / machine learning is required
• Previous work and publications in bioinformatics analysis of large-scale biomedical data, e.g., omics, clinical, structural bioinformatics, other biomedical data. It should be outlined in the CV
• Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous
• Experience with analysis of single-cell data is a plus
• Familiarity neurodegenerative disease biology is beneficial
• The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research

Language Requirements:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates.

We offer

• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
• Transcript of all modules and results from university-level courses taken
• Names, contact information and current position of 1-2 referees who can, upon request, provide an assessment of the application. Please indicate their relationship to you

Apply here

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Ion Channels PhD program - Fellowships Call for Applications

The PSI Ion Channels offers fully funded 3-year PhD fellowships within a highly interdisciplinary and internationally visible research environment at Universite Cote dAzur, a dynamic university of over 30,000 students located on the French Riviera (South of France).

 

PhD projects will start in October 2026 and cover a broad range of topics related to ion transport (channels and transporters) and/or cellular excitability.

Ion Channels aims to strengthen and expand UniCA’s expertise in ion transport and cellular excitability in health and disease through a multidisciplinary approach.

The program integrates:

• Cutting-edge methodologies: in vitro, ex vivo and in vivo electrophysiology, optopharmacology, transcriptomics.
• Integrative approaches: animal models, computational modelling and artificial intelligence.
• Pathophysiological research: pain, migraine, cancer, cardiovascular diseases, autism spectrum disorders, intellectual disabilities, Alzheimer’s and Parkinson’s diseases, psychiatric disorders and epilepsy.
• Therapeutic innovation: neurostimulation, pharmacology and precision medicine.

Application Procedure

Applications are open to candidates of any nationality who hold — or expect to obtain before September 2026 — a Master’s degree (or equivalent).

We invite highly motivated candidates with a strong academic record to apply for PhD projects that are still open for recruitment.

Detailed information on the proposed PhD projects, including scientific descriptions and supervisors’ contact details, is available at:

https://life.univ-cotedazur.fr/les-actions-de-leur-life/les-bourses-de-leur-life/bourses-de-these-ion-channels-2026

Candidates are expected to contact their prospective supervisors by April 15, with the following documents:

• Candidate’s CV.
• Motivation letter (maximum 1 page).
• At least one recommendation letter from a previous supervisor.
• Master’s transcript with detailed grades and ranking (or current transcript if ongoing).

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Doctoral student in Medical Science - RNA-modifications and Cancer biology

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: RNA-modifications and Cancer biology

The Department of Laboratory Medicine 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

We are seeking a highly motivated and curious candidate with a strong background in, for example, molecular biology, cell biology or a related field. The ideal candidate should demonstrate strong experimental skills, independence, critical thinking, and the ability to work collaboratively in an interdisciplinary research environment.
Experience in one or more of the following areas is considered advantageous:
• Cell biology and molecular cloning
• Cancer biology, stem cell biology, or RNA modification research
• Analysis of next-generation sequencing (NGS) datasets, such as RNA-seq, ChIP-seq
• Microscopy techniques, including confocal and fluorescence microscopy
• RNA biology and gene expression

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.

Contact information 

For more information about the project please contact the project supervisor,
Tanmoy Mondal , Institute of Biomedicine,
e-mail: tanmoy.mondal@gu.se

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Posted on March 15, 2026

PhD candidate in Spatial Systems Biology for Translational Oncology

We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens and Saeys teams.

In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit several types of spatial growth patterns which correlate with therapy efficiencies and overall survival (Vermeulen et al. J Pathol. 2001, Nielsen et al. Mod Pathol. 2014, Baldin et al. J Pathol Clinical Research 2021, Frentzas et al. Nature Medicine 2016). What is exactly driving these growth patterns is unknown, although the involvement of the tumor microenvironment is clear. These patterns can be mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative murine microenvironments and use high-resolution spatial omics techniques to prioritize molecular factors that may drive the immune cell states. These will then be validated through in vivo screening, first on whether these indeed drive these aberrant states, and second on whether these indeed drive the growth pattern.

You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many past successes.

Profile

• Master's in bioinformatics, biomedicine, bioengineering, biotechnology or related fields
• Interest in linking digital pathology with mechanistic experimental biology
• Programming experience in Python
• Excellent communication skills and fluency in English
• Collaborative personality with attention for detail

Want to apply?

Interested candidates are invited to apply online. Please use the VIB application tool to submit your application.

• Motivation letter of 1-1.5 pages
• Curriculum vitae
• University degree certificates

For more information, you are welcome to directly contact Prof. Wouter Saelens (wouter.saelens@ugent.be), Prof. Yvan Saeys (yvan.saeys@ugent.be) or Prof. Martin Guilliams (martin.guilliams@ugent.be)

For details click here

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PhD positions in RNA-based Medicine

We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine.

Applications are invited for 11 PhD positions (4 years) in Würzburg, Munich or Regensburg (Germany).

RNA-based therapeutics have emerged in recent years for several diseases. With the exceptionally rapid development of RNA vaccines to counteract the SARS-CoV-2 pandemic it has become increasingly clear that RNA is on the verge of becoming another major molecule class for the fields of diagnostics, prevention and treatment of diseases.

Funded by the Elite Network of Bavaria (ENB), the graduate programme RNAmed takes a holistic approach to endowing doctoral students with the skills necessary for a career in the rapidly growing field of RNA-based medicine. With the first cohort of students nearing graduation, we will now recruit students for the second funding period (2027-2030).

 

We are seeking an international group of 11 PhD students eager to join this exciting programme and contribute to the advancement of precision medicine and targeted molecular therapies. An international spirit, active networking, extracurricular activities and pharmaceutical translation are main features of RNAmed.

 

RNAmed has been running since 2022, bringing together a diverse consortium of more than a dozen world-leading scientists in RNA modification and delivery, CRISPR-Cas systems, microRNAs, non-coding RNA, RNA biology of infections, and RNA chemistry. Applicants can choose a mentor who best matches their interests and background (more information under “Panel of Experts as Supervisors” at www.rnamed.de).

 

Successful candidates shall begin their PhD projects in January 2027 (earlier or later starting dates are negotiable).

An interdisciplinary committee of international scientists will guide and support PhD candidates throughout their projects. Structured mentoring and training including summer schools, industry internships, hard and soft skill workshops and opportunities to present their work at international conferences will prepare students for careers as scientists in academia or industry, as entrepreneurs or as policy makers in the broader area of RNA-based medicine.

 

We invite applications from outstanding students of all nationalities dedicated to becoming part of RNAmed. Applicants are expected to hold a Master’s degree (with top grades) or equivalent in the life sciences, chemistry, medicine, pharmaceutical sciences or a related discipline.

Applications must be submitted in English preferably by email as one single PDF file to med-rnamed@uni-wuerzburg.de.

Please include:

• Cover letter
• CV
• Contact information of two academic reference persons
• Relevant certificates
• List of publications (if applicable)

The application deadline for this call is March 24, 2026.

The participating universities aim to increase the proportion of female employees, therefore applications from qualified women are particularly welcome. Preference will be given to handicapped persons in case of otherwise equal aptitude. If applicable, please clearly state any severe disabilities in your cover letter or CV. Salary will be based on the pay scale for the public sector in Germany (TV-L).

Informal inquiries to the advertised positions may be directed to the programme speaker, Prof. Jörg Vogel (joerg.vogel@uni-wuerzburg.de).

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Doctoral researcher in AI / Machine Learning Biomedical Imaging

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research center of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

Your role

The Junior Research Group in AI in Biomedical Imaging conducts applied AI research focused on biomedical image computing. Our work involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical imaging, with current emphasis on neurodegenerative diseases. The successful candidate will join an interdisciplinary institute working at the interface of computer science, artificial intelligence, and biomedical research.

 

Your profile

• Master's degree in computer science or related discipline
• Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI)
• Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications
• Strong interest in applied machine learning, including but not limited to deep learning
• Experience utilising GPU enabled High-Performance Computing environments is an asset
• Open minded critical thinker, willing to actively contribute to the further development of multi-cultural and multi-disciplinary research team
• Very strong organisational and analytical skills
• Enthusiasm and great commitment to research

LanguageRequiremets:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates.

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure

For details click here

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Posted on March 01, 2026

Doctoral researcher in clinical data science & machine learning

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and translational medicine using a “bench-to-bedside” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page.

Your role

We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as Alzheimer’s and Parkinson’s.

You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical data in a FAIR, privacy-preserving, and clinically meaningful manner, with particular attention to unstructured and multimodal data.

Your profile

Core qualifications:

• MD in computer science, computational biology, bioinformatics, data science, or related fields
• Strong interest in clinical and biomedical data, translational research, and health informatics
• Experience with programming skills in Python and with machine learning and NLP frameworks e.g., PyTorch, TensorFlow, Hugging Face, MONAI
• Understanding of data management, data preprocessing, and handling heterogeneous clinical datasets
• Familiarity with SQL and basic database concepts

• Job Reference: UOL08033

For details click here

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PhD Scholarship in Immunoinformatics

The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field of machine learning and Immunoinformatics.

Identification of T and B cell epitopes plays a major role in several biotechnological and clinical tasks and is central to our understanding of the immune system. T cells scrutinize the surface of cells for foreign peptides presented in complex with MHC (Major histocompatibility complex) molecules. MHC presents a proportion of the peptides produced within a cell on the cell surface, and only a minor proportion of these (termed epitopes) are recognized by T cells. Likewise, antibodies (or B cell receptors) recognize their molecular targets, termed antigens, in a highly specific manner via interactions between their binding site (paratope) and a specific region of the antigen (the epitope). Identifying the rules underlying the properties of these epitopes and their interaction with the target immune receptors is thus at the foundation for our basic understanding of adaptive immunity.

Responsibilities and qualifications
The project will be conducted in the inspiring environment at the Section of Bioinformatics at DTU Health Tech as part of the IML research group led by Professor Morten Nielsen in close collaboration with the IEDB leader team at La Jolla Institute for Immunology (LJI), San Diego, California.

Your main focus will be centered on further developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and experimental immunology colleagues.

Application procedure 
Your complete online application must be submitted no later than 15 March 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)List of publications
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

Further information 
Further information may be obtained from Morten Nielsen, morni@dtu.dk and at Immunoinformatics and Machine Learning (IML).

You can read more about DTU Health Tech at www.healthtech.dtu.dk/english.

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PHD in ANTIMICROBIAL RESISTANCE IN CASE OF GUT DYSBIOSIS

The MICRO-PATH Doctoral Training Unit (DTU) unites experts from various disciplines to investigate links between the microbiome and chronic diseases alongside generalisable pathogenic effects. Our mission is to understand these links causally and mechanistically, and to establish the microbiome as a key target for future therapeutic and preventative measures.

MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund (FNR) and the partner institutions. Our DTU focuses on microbiome-mediated pathogenesis through microbiology and big data analytics. The programme offers transferable skills training, career development support, lectures by international experts, and annual PhD symposia.

Make sure to see the DTU website to find out more: https://micro-path.uni.lu

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

Application procedure and conditions

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.

PhD additional conditions:

·       Supervisor at LIST: Henry-Michel CAUCHIE (henry-michel.cauchie@list.lu)

·       Co-supervision at LIST: Louise HOCK (louise.hock@list.lu)

·       Work location: Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg

·       PhD enrolment: University of Luxembourg, Belval, Luxembourg

Posted on February 10, 2026

PhD Position - Single-cell genomics of Chromosomal Instability in Cancer

PhD Student for the research group "Integrative Food Systems Analysis"

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM), a legal foundation under civil law based in Freising, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components.

To strengthen our research group, Integrative Food Systems Analysis / Section III, we are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13, 65%) and initially limited to 3 years.

Research project

With the increasing availability of food-related multi-omics data, it is possible to extensively characterize food items on a molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems.

Key Responsibilities

• Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data
• Multi-omics integration using graph-structured prior knowledge
• Analyze food-related (multi-)omics data

Your Profile

The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX or PyTorch, is a plus.

Please send your application, including a comprehensive CV and transcripts as well as names of three potential references, as a PDF file and stating the reference number 2026-01-S3-NK via email to: Anja Albrecht (Administration) recruiting.leibniz-lsb@tum.de.

For details click here

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PhD (Doctoral) position - Data Sciences for Molecular Systems Biology & Bioinformatics

Job Information Organisation/Company:  University of Konstanz

You will conduct your research in a lively and academically outstanding research environment. The position is part of a collaborative research centre at the University of Konstanz, which is among the most highly ranked institutions in Germany.

This position is an exciting opportunity for you if you wish to become an expert in data sciences and molecular cell biology by conducting cutting-edge research on the molecular mechanisms underlying cellular trigger responses in normal and diseased cellular states. The position is available within the Systems Biology & Biomedical Data Science Laboratory, which has a strong focus on developing and applying leading-edge data science approaches to study gene regulation in health and disease. Please find further information on the web site of the Gruber research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ).
You will be developing machine learning-based data science approaches for the analysis of Next Generation Sequencing (NGS) data from wet laboratory experiments and from the clinics. Using a holistic computational framework, you will study known and potentially so far unknown regulators that mediate the cellular response to specific triggers, such as TGFB1-mediated epithelial-to-mesenchymal transition, a process that plays a key role in the formation of cancer metastases. Long term, this project aims to expand its analysis capabilities from human to additional model organisms to make the analysis approaches available to the broader scientific community. If you have some experience in programming and/or analyzing data and you wish to conduct a doctoral thesis with a focus on data sciences and molecular cell biology in a systems biology & biomedical data science laboratory, we are looking very much forward to your application!

Your Responsibilities

• Develop and apply data science tools and approaches
• Implement Next Generation Sequencing data analysis workflows
• Analyze data from Next Generation Sequencing experiments
• Design and implement web-based user interfaces for result reporting
• Interpret analysis results and contribute to publications and presentations of the research group

  Where to apply E-mail nfg027@uni-konstanz.de

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Posted on February 01, 2026

3-year PhD scholarship opportunity in single-cell bioinformatics

The Dermatological and Computational Immunology Laboratory at the University Medical Center Mainz is currently inviting international applications from PhD candidates for a scholarship opportunity associated with the Max Planck Graduate Center mit der Johannes Gutenberg-Universität Mainz.

Research projects will specialize on single-cell sequencing and AI driven myeloid cell and interactome analysis in contexts of health and disease. Projects have a strong dry-lab focus but can incorporate molecular or translational wet lab components if sought.

The 3-year PhD program will be co-supervised by a bioinformatics-focused and a biology-focused PI. A Master’s degree or equivalent in natural or computer sciences with excellent marksand a very strong experience in single-cell sequencing analysis with first publications is required. Experience in omics integration analysis is a plus. Proof of English language skills for non-native speakers (official standardized tests, e.g. TOEFL iBT, min. 60 points) is required. Programme start: summer 2026. More information can be found here https://www.mayer-lab.com/ and here https://www.mpgc-mainz.de/10054/FAQ

Please provide transcripts, diplomas, CV and motivation letter Where to apply E-mail Johannes.mayer@unimedizin-mainz.de

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10 PhD Candidates for Challenges in Infection Research

The Helmholtz Centre for Infection Research (HZI) is looking for a total of 10 PhD Candidates (f/m/d) for Challenges in Infection Research at the HZI (various locations across Germany) An exceptional opportunity for curious, young scientist to work in a stimulating environment.

We invite applicants to undertake their PhD project at one of the five locations of the Helmholtz Centre for Infection Research (HZI). HZI is Germany’s largest academic institution dedicated to infection research and a member of the Helmholtz Association. For 60 years, HZI has been at the forefront of the fight against infectious diseases. We welcome a broad spectrum of disciplines, believing in thinking outside the box, to address the most pressing challenges in infection research. By encouraging interdisciplinary approaches, we drive innovative solutions through diverse perspectives.

Scientific curiosity ignites groundbreaking discoveries and transforms global health challenges into opportunities for innovation. Our "CURIOSITY IS INFECTIOUS" initiative celebrates this spirit of inquiry, showcasing how curiosity spreads through collaboration, creating a ripple effect of positive change. The program seeks to nurture a new generation of researchers who will use curiosity to combat infectious diseases and improve lives worldwide.

Eligibility criteria:

Applicants should meet the following requirements: A Master’s degree (or equivalent) in biomedical sciences e.g., Microbiology, Immunology, Biochemistry, Chemistry, Bioinformatics, Physics, Pharmacy etc. and an ambitious and innovative mindset as well as excellent written and oral communication skills in English, and a willingness to work in an intercultural team.

We offer:

A funded PhD position under the German federal pay scale (equivalent E13 TVöD Bund, 65%), including health insurance, pension, and 30 days of paid vacation, providing a secure income sufficient for living in Germany with full social benefits. By joining the HZI, you will have access to top-tier research infrastructure, advanced technologies (including a BSL-3 facility, advanced imaging, and various cutting-edge omics technologies), and an international collaborative network of infection research experts.

Closing date: 28/02/2026

For further information please contact JobsHZI@helmholtz-hzi.de

For details click here

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PhD position - Molecular simulation and machine-learning for predictive chromatography modeling

Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open-source software development and industrially relevant applications. Tasks include:

• Development of molecular descriptors from protein structures and simulations
• Design and training of QSPR and machine learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework
• Simulation and analysis of batch and gradient elution processes using predictive isotherms
• Curation and analysis of experimental chromatography data for model training and validation
• Collaboration with experimental and industrial partners
• Dissemination of results through high-quality publications and open-source software contributions

Your Profile:

• Master’s degree in chemical engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record
• Genuine interest in data-driven and physics-based modeling, molecular simulations, and their application to bioprocesses and bioseparations
• Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset

Further Information: hds-lee@fz-juelich.de

For details click here

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PhD Student  in Molecular Epidemiology

Posted on January 10, 2026

MSCA Doctoral student in Medical Science- Next generation molecular diagnostics

The University of Gothenburgtackles 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: Development of nucleic acids-based technologies for clinical diagnostics

The Department of Laboratory Medicine is located at the Institute of Biomedicine at the Faculty of Medicine at Sahlgrenska Academy, University of Gothenburg.

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: Cancer is one of the most common diseases that affect individuals at all ages and treatment usually includes a combination of therapies, such as surgery, chemotherapy and radiotherapy. Despite improvements in treatments, they are often long-lasting and associated with severe side effects. Hence, it is important to adjust the therapy to each patient at individual level. Today, it is challenging to monitor the treatment efficacy in detail and at an early stage detect tumor relapse and other complications, such as infections. These issues are possible to address by analyzing cell-free DNA and RNA in blood collected from patients. These analyses will provide information about disease status, how therapies affect tumor cells and if treatments should be changed or maybe stopped.

Contact information

For more information about the project please contact principal supervisor,
Anders Ståhlberg, Professor, Institute of Biomedicine
e-mail: anders.stahlberg@gu.se

For more information about our research, see: https://www.gu.se/en/research/anders-stahlberg

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PhD Fellowship for 9 Programs in Science, Engineering, and Technology

Westlake University is a new type of high-quality research-oriented university based in the historic city of Hangzhou, China. Our university was founded by prominent globally respected scientists and scholars. At Westlake, we emphasize academic freedom, research excellence, interdisciplinary engagement, and international collaboration. We are committed to building a truly international, world-class, research-oriented university.

Westlake has four schools: the School of Life Sciences, the School of Science, the School of Engineering, and the School of Medicine. Each school features cutting-edge research facilities and extensive research opportunities in key national, provincial, and municipal laboratories. Ph.D. programs at Westlake University actively promote cross-disciplinary research and there are ample opportunities to combine research interests from other Ph.D. programs or from any of the four schools' program research fields.

There are currently nine Ph.D. programs available to international applicants.

• Biology
• Chemistry
• Physics
• Quantitative Biology and Complex Systems
• Electronic Science and Technology
• Materials Science and Engineering
• Information Technology in Artificial Intelligence
• Sustainability Science and Technology
• Mathematics

Eligibility:

• Applicants to the Ph.D. in Mathematics program can apply with a master's degree in a related field.
• Applicants to all other programs can apply if they have completed a bachelor’s or master’s program in a related field.
• Applications are open to candidates from all nationalities.

For more details and to apply, please visit:

https://en.westlake.edu.cn/admissions/graduate/#Overview?International_Applicants

For inquiries please contact:

Derek Meyer

Senior Manager of International Affairs

Email: derek@westlake.edu.cn

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PhD Position in Food Allergy and the Gut-Brain Immune Axis

Project summary

Growing evidence suggests that allergic immune responses in the gut can influence the brain, but how these signals are transmitted and whether they contribute to brain disorders remains unclear. This project will explore how food allergy during early life alters the gut microbiota, reprograms immune cells, and promotes their trafficking to the brain, ultimately triggering neuroinflammation.

The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology, and computational biology, the student will also contribute to the integration of experimental findings with spatial and systems-level analyses of inflammation along the gut–brain axis.

Position

The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune-Brain Axis Lab (Dr. Seppe De Schepper) at the VIB-UAntwerp Center for Molecular Neurology, and the incoming lab of Dr. Javier Aguilera Lizarraga at the Instituto de Neurociencias de Alicante (IN, Universidad Miguel Hernández-CSIC, Spain), are seeking a highly motivated PhD student to join a collaborative and interdisciplinary project. The project investigates how food allergy affects gut-brain communication and function.

Profile

We are looking for a talented and curious individual with:

• A Master’s degree in immunology, neuroscience, molecular biology, or related disciplines
• FELASA certification
• Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging)
• Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore highly desired
• Excellent communication skills and fluency in English

For more information: please contact valeriya.malysheva@vib.be or Sebastiaan.DeSchepper@vib.be

Apply here