300 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs in Germany
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 10 days ago
Job Offer from November 03, 2025 The "Computational Relativistic Astrophysics" division at the Max Planck Institute for Gravitational Physics (the Albert Einstein Institute) in Potsdam led by Masaru
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for all employees, including a dedicated mentoring program. We welcome applications from candidates of all backgrounds, especially those from groups currently underrepresented in science and academia. We
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Active contribution to the operations of the stable isotope laboratory Your profile Academic qualification (PhD) in Earth Sciences or related field Experience and training in sedimentology or tectonics
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(or equivalent) and PhD/doctorate in a research area relevant to the described project (e.g. biochemistry, microbiology or cell biology) extensive experience in the purification and in vitro characterization
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sperm Coordinating laboratory work of a project team REQUIREMENTS: University degree with PhD in biology, biochemistry, pharmacy, chemistry, biomedicine or other life sciences (required) Experienced in
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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basic research. At 84 Max Planck Institutes, more than 26,000 employees conduct basic research in a wide range of fields in the life and natural sciences, as well as in the humanities, social sciences
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interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics