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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
research vision. Minimum Education and Experience Requirements PhD in Biomedical Engineering, Neuroscience, or a closely related field. Required Qualifications, Competencies, and Experience Previous research
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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-related problems in the Earth-surface environment. Our vision encompasses both science and practice, beginning with basic research and moving through application, decision-making, and management. Located
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). Postdocs will have opportunities for collaboration and co-mentored with PIs in the program. Postdoctoral fellows will lead independent research projects with direct translational relevance to cancer
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academic record and experience. Position Overview The Department of Internal Medicine, Division of Medical Oncology is seeking a highly motivated and skilled Research Assistant Professor to join a dynamic
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| College Administration We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary collaboration between Dr. Yuan Xue (Department of Biomedical Informatics) and Dr. Andréa
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Position Title Post-Doc Research Associate Vacancy ID PDS004560 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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Sini Laakso’s lab Autoimmune Neurology at the Translational Immunology Research Program at University of Helsinki, Faculty of Medicine invites applications for the position of POSTDOCTORAL
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cooperate within the framework of MIRMI. Position Overview Join a highly interdisciplinary and innovative team at MIRMI to conduct cutting-edge research in robotic manipulation of deformable objects
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion