Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology; ERC-funded
Verfasst am 2026-01-21
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Forschung/Entwicklung
Forschungswissenschaftler, Biomedizinische Wissenschaft, Immunologische Forschung, Klinische Forschung
Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology (ERC-funded) (m/w/d)
Join us as a Postdoctoral Researcher in the Liesz-Laboratory at the Institute for Stroke and Dementia Research, Munich. This position focuses on how sterile tissue injuries such as stroke or myocardial infarction shape systemic immunity, with a particular emphasis on maladaptive trained immunity and bone marrow epigenetic reprogramming.
- Workplace:
Campus Großhadern - Working hours:
Full time - Institution:
Institut für Schlaganfall- und Demenzforschung - Department: AG Liesz
- Date of entry: 01.04.2026
- Final date to receive applications:
Swift - Reference Number: 2025-K-0451
To expand this line of research, we are now recruiting Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology to join our multidisciplinary team. The position is embedded within a newly funded ERC Consolidator Grant, further supported by the SyNergy Cluster of Excellence and the newly established Collaborative Research Centre CRC 1744 “Compartmentalized Cellular Networks in Neurovascular Diseases.”
Profile Track 1 – Computational Epigenomics / Multi-Omics Data Integration- Background: bioinformatics, computational biology or epigenomics
- Desired experience: single-cell and spatial omics analysis (scRNA-seq, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine learning approaches for high-dimensional data, programming skills in R or Python
- Background: immunology, inflammation biology or bone marrow niche biology
- Desired experience: myeloid cell biology, trained immunity, macrophage and HSPC biology, murine models of inflammatory or ischemic injury (stroke, myocardial infarction), flow cytometry, cell sorting, epigenetic assays (ATAC-seq preparation, ChIP or CUT&RUN), functional assays such as cytokine multiplexing, metabolic profiling or immunohistochemistry, in vivo inter-organ communication models
As part of the SyNergy Cluster of Excellence, member of large collaborative research networks (including CRC 1744, FOR
2879 Immuno Stroke and Helmholtz collaborations), and located in the Center for Stroke and Dementia Research, we provide a highly collaborative, interdisciplinary and internationally visible research environment with access to cutting‑edge technologies in immunology, (spatial) multi‑omics, advanced imaging and computational biology.
- Applicants should hold a PhD in Immunology, Neuroscience, Computational Biology, Molecular Biology or a related field.
- A strong publication record, high motivation to work at the interface of immunology, epigenetics and systems biology, ability to work independently within a multidisciplinary team, and excellent communication skills in English.
- A highly stimulating and internationally competitive research environment centered around a newly funded ERC Consolidator Grant.
- Access to state‑of‑the‑art immunological, epigenomic and computational technologies, including full access to the technology Hubs by the SyNergy Cluster of Excellence.
- Opportunities for co‑supervision of students, strong publication environment with high visibility.
- Appropriate remuneration according to the Collective Agreement for the Public Sector of the Länder (TV‑L) including all allowances customary in the public sector.
- Fixed‑term contract with possibility of extension.
Please upload a single PDF including a cover letter, CV with publication list, and contact details of two to three referees. Applications are submitted through the online‑form. Disabled persons will be preferentially considered in case of equal qualification. Presentation costs cannot be refunded. Travel expenses incurred through interviews are not reimbursed. Postal applications will not be returned and will be destroyed in accordance with data protection regulations.
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