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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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development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke
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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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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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interactions, and microenvironment dynamics. Advance the understanding of disease processes through innovative spatial analysis techniques. Build Transformative Computational Solutions Bridge computer
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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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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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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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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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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