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intestinal homeostasis and disease. These studies involve state-of-the-art culture techniques for intestinal organoids derived from mice and human patients as well as in vivo mouse models. As part of this PhD
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components. To strengthen our research group Molecular Modeling / Section III, we are currently looking for a committed PhD Student (m/f/d) to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and
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. The global health research team is currently expanding its research on infectious diseases, health inequalities, digital health services and population health metrics and develops novel methods for economic
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biobanking of patient material Integrate comprehensive multi-omics datasets—including metabolomics, high-dimensional flow cytometry, and multiplex imaging—to accurately determine crucial molecular and cellular
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Helmholtz-Zentrum für Infektionsforschung | Braunschweig, Niedersachsen | Germany | about 1 month ago
with the immune system, while also investigating new compounds with potential therapeutic effects. The department VIRI studies viral infections in animal models and in models of primary human cell
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. The research group Molecular Modeling / Section III are currently looking for a committed PhD Student to start on 15/01/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical
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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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exclusively in German. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please look at our website for the current application
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background in virology or immunology, but candidates with expertise in genetics, flow-cytometry, microscopy or animal models of infection will be considered A strong interest in adaptive immunity of viral
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transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies, AI-enhanced simulations, and computational workflows to explore biological