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German Center for Neurodegenerative Diseases

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PhD candidate in Systems Medicine and Molecular/Translational Immunaging German Center for Neurodegenerative Diseases in Germany

Degree Level

PhD

Field of study

Immunology

Funding

The post is a PhD candidate position at the DZNE Bonn site with access to fully established genomics, bioinformatics, wet-lab facilities, and high-performance computing resources. Membership in one of the graduate school programs is included; no stipend or salary amount is stated.

Deadline

Oct 24, 2026

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Country

Germany

University

German Center for Neurodegenerative Diseases

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Keywords

Immunology
Computer Science
Environmental Science
Biomedical Engineering
Biology
Computational Biology
Neuropsychology
Medical Science
Salud Pública
Bioinformatic
Transcriptomic
ML

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About this position

PhD candidate opportunity in Systems Medicine at the DZNE Bonn site (German Center for Neurodegenerative Diseases), within the Helmholtz Association of German Research Centres.

The project sits at the intersection of molecular and translational immunaging, immunology, omics technologies, single-cell multi-omics, high-dimensional cytometry, organoid models, animal models, bioinformatics, and computational biology. The research aims to understand the clinical impact of chronic PFAS exposure worldwide and to uncover how environmental pollutants alter immune function, especially in older individuals and in the context of non-communicable diseases.

Responsibilities include designing and carrying out single-cell multi-omics and cytometry experiments, developing and maintaining organoid and animal model systems, performing comprehensive data analysis, investigating PFAS-driven immune changes, and identifying molecular pathways and possible intervention strategies. The work is interdisciplinary and involves collaboration with experts in data and information sciences, immunology, and epidemiology.

Eligibility highlights: a Master’s degree or equivalent in molecular biology, immunology, bioinformatics, systems biology, or a related field; strong background in immunology, cell biology, and genomics/transcriptomics; strong interest in omics and computational analysis; very good English; collaborative mindset; ability to work independently and in a team. Experience with multi-color flow cytometry, cell culture, transcriptomics, animal models, mice, and programming in R or Python is advantageous.

Funding details are not specified in the post, but the position provides access to established genomics, bioinformatics, wet-lab facilities, and modular high-performance computing resources, plus membership in a graduate school program.

Location: Bonn, Germany. Deadline: 24 Oct 2026. For questions, contact Dr. Lorenzo Bonaguro. Apply via the Nature Careers application page.

Funding details

The post is a PhD candidate position at the DZNE Bonn site with access to fully established genomics, bioinformatics, wet-lab facilities, and high-performance computing resources. Membership in one of the graduate school programs is included; no stipend or salary amount is stated.

What's required

Master or equivalent in molecular biology, immunology, bioinformatics, systems biology, or a comparable field. Strong research background in immunology, cell biology, and genomics or transcriptomics is expected. Interest in omics technologies and computational analysis is required; experience with multi-color flow cytometry, molecular and cell biology, transcriptomics, cell culture, animal models, and programming in R or Python is advantageous. Practical knowledge of data analysis and machine learning using R or Python is also an advantage. Very good English proficiency, an enthusiastic and collaborative attitude, ability to work independently and in a team, and excellent communication skills are required. Experience working with mice is highly desirable.

How to apply

Apply on the Nature Careers website via the external application link. Review the Systems Medicine group page for context and contact Dr. Lorenzo Bonaguro if you have questions.

More information can be found here

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