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date 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology Reference number: 2025-0274 The Saur Lab is deploying advanced in vitro and in vivo model systems, genetic perturbations
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processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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in acquiring third-party funding and writing grant proposals Research in the thematic area of Computational Integrative Biodiversity Support of teaching units for the Chair of Mechanistic/Process
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combining experimental and computational approaches to: Characterize the evolution of cis-regulatory networks across primate brain development using novel single-cell omics methods Apply deep learning models
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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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researcher (f/m/d) The Max Planck Institute for Multidisciplinary Sciences (MPI) in Göttingen, Germany and the Applied Physics Division at NIST in Boulder, CO, USA seek a qualified postdoctoral researcher to
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
at scientific conferences Your profile # Completed university studies (PhD) in the field of Materials Science, Materials Engineering, Physics, Nuclear Engineering or a comparable field # Sound knowledge in
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skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and collaboration with experimental groups. PhD
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Institute for RNA-based Infection Research (HIRI) is the first institution of its kind worldwide to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong
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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