70 computer-science-image-processing "EURAXESS" Postdoctoral positions at Duke University
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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. The Department of Surgery at Duke University is seeking a qualified Postdoctoral Associate. This postdoctoral research position focuses on applying AI, agentic systems, and software engineering to
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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cryo-EM workflow, including sample preparation/freezing, data collection, processing, and atomic model building. Biochemical/Biophysical Characterization: Managing protein engineering (cloning
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processing with knowledge of quantum theory / information science. SKILLS: Proficiency in English language including writing and oral communication. Duke University is an Equal Opportunity Employer committed
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, Computational Biology, or a related biomedical discipline. Strong publication record demonstrating research productivity. Excellent organizational, communication, and problem-solving skills. Ability to work both
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on implementation science approaches, to guide implementation, evaluation, and continuous learning. Lead and conduct analyses that generate actionable insights for policy, program improvement, implementation, and
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(Microbiology & Immunology, University of Michigan) Minimum Requirements Ph.D. in applied mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE
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Neuroscience and Associate Chair of Psychology and Neuroscience; and Dr. Christopher Bail, Professor of Sociology, Computer Science, Political Science, and Public Policy and Director of the Society-Centered AI
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification