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: The candidate for this position will be a highly motivated individual with experience in deep learning and a PhD in computer science, electrical engineering, biomedical engineering, biomedical
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Biomedical Engineering, Computer Science, Medical Physics, Computational Biology, Data Science, or a related quantitative discipline. Experience in computational image analysis, digital pathology
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methods into scalable real-world applications. Collaborate Across Disciplines Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to
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dissemination activities. Stay current with emerging technologies and best practices in machine learning, software engineering, and medical imaging. What You'll Bring: Ph.D. in Biomedical Engineering, Computer
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imaging studies and in the development of new imaging protocols. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in biomedical engineering, electrical or computer
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engineering to computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops
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for candidates who: Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science
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Stem Cell , 2026). Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . We are especially interested in candidates excited to contribute to a new NIH program
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Profiling (AMP) Laboratory ( https://anesthesiology.duke.edu/research/serbanescu-lab) under Dr. Mara Serbanescu in the Department of Anesthesiology at Duke University School of Medicine is seeking a full
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. Duke University is in Durham within the Research Triangle, an affordable, vibrant and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications