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. In this role, you will collaborate with leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve
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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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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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: 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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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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., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience
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engineering, medical physics, computer science, applied physics, or a closely related field. Candidates with non-US degrees may be required to provide proof of degree equivalency. Note for international
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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