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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
the immune system interacts with metabolism in health and disease and how this knowledge can be used for precise prevention and therapy. We focus on regulatory T cells (Tregs) as key mediators of immune
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on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=27924 PhD - cardiac immunometabolism (m/f/d) Stellenanzeige merken Stellenanzeige teilen wanted from
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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across the world. We are looking for motivated researchers to join the HDSC/MDSI Tandem Project "Data science at scale: Training neural models with mixed precision solvers." This is a joint project
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precision Standard Model predictions for the LHC, perturbative QCD, top-quark and Higgs-boson physics. The successful applicant will be hosted by the Institute for Theoretical Particle Physics and Cosmology
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
environment. Desirable qualifications Strong knowledge of statistics, statistical learning, or probabilistic modeling. Experience collaborating with experimental scientists, biologists, or clinicians. Interest
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non-academic partners across Europe and beyond to advance response diversity research and translate new knowledge into ecosystem management, restoration, and biodiversity policy. The Doctoral Candidate
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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discovery and inference, with an emphasis on robustness, scalability, uncertainty quantification, expert knowledge integration, and multi-scale causal abstraction and representation learning. Your Job How are