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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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HIV prevention and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science
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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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activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate
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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