216 professor-computer-science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers
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processing equipment Modern methods in molecular biology for the engineering of proteins and microorganisms Skilled in computational methods for the prediction, characterization or modelling of biomolecules
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applications via email to: Philipp Oberdoerffer, Ph. D. Associate Professor Johns Hopkins Medicine Department of Radiation Oncology & Molecular Radiation Sciences 1550 Orleans St Baltimore, MD 21287 Email: PO
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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experimental and theoretical groups with complementary expertise in model organism genetics and cellular phenotyping, single-cell genomics, statistics, and computational biology. Building on our combined
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& Systems Biology program at MSK. Our long-term goal is to enable rational engineering of cell state: using large-scale functional genomics to build predictive models of how cells respond to perturbations
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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demonstrators for satellite communication systems Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise the scientific research of PhD/Master students
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relevant to this area of research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Proven
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high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in biology, ecology, plant physiology or similar Collaborative skills and ability
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, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks