PhD Student - AI-Integrated Neuroimmunology | Doktorand:in (all genders) - KI-integrierte Neuroimmunologie (Arbeitsort München)
Universitätsklinikum Hamburg-Eppendorf GB Personal, Recht & Organisation
Job Summary
This PhD position offers a unique opportunity to join the newly founded Laboratory for Systemic Neuroimmunology at LMU Munich. As a doctoral researcher, you will work at the intersection of immunology and advanced computational science, specifically utilizing artificial intelligence to 'decode the pregnancy code.' Your day-to-day responsibilities will involve planning and conducting large-scale experiments using human patient samples and pregnancy cohorts to understand natural immune tolerance mechanisms in neuroimmunological diseases like Multiple Sclerosis. You will analyze high-dimensional multi-omics data, validate computational findings through functional lab experiments, and develop protocols for flow cytometry and CRISPR/Cas9 gene editing. This role is highly interdisciplinary, requiring close collaboration with biologists, clinicians, and data scientists within the SFB 1713 and SyNergy Excellence Cluster networks. The position is based in Munich but formally contracted through UKE Hamburg, offering a structured 3-year research path with 65% part-time compensation under the TVöD/VKA tariff.
Required Skills
Education
Master's degree in Biology, Biotechnology, Bioinformatics, Immunology, or a related field.
Experience
- Professional experience in immunological methods such as flow cytometry, qPCR, or functional assays is preferred
- Experience with omics and sequencing technologies (e.g., scRNA-seq, spatial transcriptomics) is an advantage
- Demonstrated ability to work in interdisciplinary teams involving clinicians and data scientists
- Proven interest or background in computational science and AI applications in biology
Languages
Additional
- The place of work is Munich (Biomedical Center Munich). Candidates must provide proof of full immunization against the measles virus before starting employment. The position is limited to 3 years at 65% of standard weekly working hours.
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