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. DESIRED QUALIFICATIONS: BS, MS, MBA, or PhD in Business, Science, or a related field. Minimum of seven years of relevant experience in the healthcare technology industry, including startups, corporates
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engineers, and direct or assist in directing the work of others to meet project goals while advising stakeholders on data strategies and best practices. What you bring: Master's or PhD degree in
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(physics, chemistry, biology), engineering (natural language processing) and humanities and social sciences (linguistics, sociology, philosophy and history of science). Within that project sits the first
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interdisciplinary research group focuses on developing and applying advanced image processing and artificial intelligence (AI) tools to solve challenges in healthcare and biotechnology. Our work spans from AI
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with 3 force plates, wireless electromyography and accelerometry, inertial measurement unit system with biofeedback capabilities, isokinetic dynamometry, ultrasound imaging with shear wave capability
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to our patients by being at the cutting edge of research and technology. Using the most state-of-the-art imaging systems and radiation delivery platforms in the world, our highly integrated team
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needs. Project background We are excited to announce an interdisciplinary PhD opportunity focused on mechanochemical processes driving radical formation and redox cycling in the deep subsurface, with
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personalized sound-based health interventions Multimodal imaging studies combining neuroimaging with acoustic analysis to map music-brain interactions Our tenure and promotion process values collaborative
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, state of the art imaging technology, and translational research centers, including the Imaging Center for Intelligence (Ci2). Required Qualifications Bachelor’s degree in computer / computational / data
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achievements in the area of biomedical engineering, in particular: designing computer-aided diagnosis systems; analyzing images, signals, and multimodal data, particularly using artificial intelligence methods