Postdoctoral Researchers in Computational Biology: The Institute for Stroke and Dementia Research at the University of Munich is seeking motivated Postdoctoral Researchers to explore the impacts of sterile tissue injuries on systemic immunity. Our research focuses on trained immunity and epigenetic reprogramming, within a vibrant multidisciplinary team.
Postdoctoral Researchers in Trained Immunity, Epigenetics, or Computational Biology (ERC-Funded)
Designation
Postdoctoral Researcher (m/f/d)
| Details | Information |
|---|---|
| Workplace | Campus Großhadern |
| Department | AG Liesz |
| Date of Entry | 01.04.2026 |
| Reference Number | 2025-K-0451 |
| Application Deadline | Swift |
| Type of Position | Full-Time |
| Remuneration | Based on TV-L regulations, includes allowances |
Research Area
- Trained Immunity
- Epigenetics
- Computational Biology
Location
Institute for Stroke and Dementia Research, LMU Klinikum, Munich, Germany
Eligibility/Qualification
- PhD in Immunology, Neuroscience, Computational Biology, Molecular Biology, or a related field
- Strong publication record
- Excellent communication skills in English
- Ability to work independently in a multidisciplinary team
Job Description
The selected candidates will join the Liesz-Laboratory to investigate how sterile injuries like stroke affect systemic immunity. The research will involve:
- Profile Track 1: Computational Epigenomics / Multi-Omics Data Integration
- Focus on bioinformatics, computational biology, or epigenomics.
- Experience desired in single-cell and spatial omics analysis, epigenomic data processing, and machine learning approaches.
- Profile Track 2: Experimental Immunology / Bone Marrow Biology / Trained Immunity
- Experience with myeloid cell biology, trained immunity, and murine models of injury.
- Familiarity with flow cytometry, cell sorting, and various immunological assays.
Candidates will benefit from access to cutting-edge technologies, a collaborative research environment, and opportunities for career development.
How to Apply
Applicants should submit a single PDF containing:
- Cover letter
- Curriculum vitae with publication list
- Contact details of two to three referees
Submit your application via the online form provided on the university’s job posting page.
Last Date to Apply
Applications are accepted on a rolling basis until positions are filled, so early application is encouraged.
For further inquiries, please contact: +49 89 4400 46169.
