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multistate-multiphysics deep learning potentials and polarizable embedding methodology to simulate photoinduced charge-transfer dynamics in multichromophoric systems, such as photosynthetic reaction centers
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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Postdoctoral Fellow. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in
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of advancing clinical capabilities for early detection of cancer. As Dr. Collins is deeply embedded in population genomics and cancer genetics research communities throughout the greater Boston area, our
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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is a two-year experiential program designed to advance lifelong learning and the education and training of Pharm.D. graduates. A key element of the program's success is preparing Fellows to meet
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ability to work independently and in a team environment. Preferred Qualifications: Experience with real-time embedded systems. Background in AI-control frameworks. Proficiency in MATLAB/Simulink and Python
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, or imaging approaches in animal models and human tissue. The successful applicant will be embedded in the larger Neuroscience community at UTSW and OBI, and will benefit from a network of collaborations with
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of study and a step-change towards the global goal of eliminating forced labour, modern slavery, and human trafficking. This role is one of seven new roles being recruited into the Rights Lab at the University