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variants on human traits and single-cell readouts. Our research group is pioneering computational methods for deciphering molecular variation across individuals, space, and time. We have a track record in
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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/Radiobiology is dedicated to investigating molecular pathways in tumor and normal tissue response to irradiation. Your Tasks The candidate will perform a full proteomic analysis in existing tissue samples of two
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collegial and open-minded working atmosphere in a dynamic research institution company ticket Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications
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Boltzmann and Landau kinetic theory, dynamic mean-field theory and the theory of stochastic processes including Fokker-Planck Equations and path integral techniques. However, applicants from other areas
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We offer: The successful candidate will be hosted in the junior research group Metabolomics-guided Natural Product Discovery and be part of a young and dynamic team. The Leibniz-HKI is embedded in
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics Group at the TUM School of Life Sciences, Technical University of Munich studies how ecosystems change in time and space. We quantify
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention. We invite applications
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, R/Python) is welcome We offer: A dynamic, interdisciplinary service platform environment embedded in Germany’s leading Life-Science campus Access to cutting-edge instrumentation (timsTOF fleX MALDI-2
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, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck