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collaboration and technical innovation. Be Bold. This is an exciting opportunity to contribute to cutting-edge research at the intersection of machine learning, medical imaging, and software engineering. You
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translational science through computational pathology, biomedical engineering, and clinical research. Working alongside multidisciplinary teams of scientists, clinicians, engineers, and data experts
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appointment will allow the candidate to improve their engineering skills while becoming familiar with current healthcare problems. Career development benefits: Duke University is committed to
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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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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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communication skills required. Preferred Qualifications: Patch-clamp electrophysiology, quantitative imaging, protein engineering, structural methods (cryo-EM, X-ray, MD modeling), lipid biochemistry, and
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science, statistics, biostatistics, epidemiology, biomedical informatics, engineering, applied mathematics, computational biology, or a related quantitative field by the start date. Candidates should have
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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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understanding of brain function. Minimum Requirements: Ph.D. in Neuroscience, Biomedical Engineering, Physiology, Biology, or a related field. Experience conducting independent research in neuroscience or a
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understanding of brain function. Minimum Requirements: Ph.D. in Neuroscience, Biomedical Engineering, Physiology, Biology, or a related field. Experience conducting independent research in neuroscience or a