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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary
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researcher (m/f/d) (biology, biochemistry, biotechnology or related areas) Our project investigates the mechanisms of inherited bone marrow failure and its progression into hematological malignancies. Our
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on the identification of novel cancer-promoting mechanisms in the tumor microenvironment. Based on these functional insights we aim to derive novel targets for therapeutic intervention. Translation of research findings
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution