32 assistant-professor-and-health-informatics Postdoctoral positions at Nature Careers in Germany
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science, Earth Science and the Life Sciences. This collaborative program offers a comprehensive four-year position
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To strengthen our team in the division “X-Ray Imaging” in Berlin-Steglitz, starting as soon as possible, we are looking for a Postdoctoral research assistant (m/f/d) in the field of physics
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To strengthen our team in the division "Biodeterioration and Reference Organisms” in Berlin-Steglitz, starting 01.05.2026, we are looking for a Postdoctoral research assistant (m/f/d) in the field
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assistant (m/f/d) in the field of microbial ecology, molecular biology, microbiology or comparabel field remuneration group 14 TVöD permanent employment relationship Full-time / suitable for part-time
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To strengthen our team in the division “Technical Properties of Polymeric Materials” in Berlin-Steglitz, starting as soon as possible, we are looking for a Postdoc /Research assistant (m/f/d) in
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism, 2023; Leung et al., Science
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excellent public transport connections and free parking attractive sports and health facilities (university sports) the option to work from home Please send your application with the usual documents by email
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signaling and metabolism in a truly translational context to help patients? Apply, join and succeed in our team in the pursuit of improved understanding of heart failure with preserved ejection fraction