2,600 engineering-computation "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" Postdoctoral positions in United States
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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position. Appointment Start Date: Ideally on or before July 1, 2026 Group or Departmental Website: https://med.stanford.edu/buckwalter-lab.html (link is external) https://med.stanford.edu/neurology/divisions
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potentially collaborate with his collaborators across the university and the medical and dental schools. We seek candidates with strong analytical, computational, and communication skills. While a background in
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40 . Working at NLR Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Institute for Ethical Leadership (IEL) at Rutgers Business School – Newark and New Brunswick invites applications for a
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fields (e.g., nursing, psychology), non-clinical fields (e.g., engineering, informatics), or social sciences (e.g., health policy, biostatistics, epidemiology, economics, sociology). Research Focus Areas
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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: Design and iterate custom-built single-molecule measurement platforms SWNT FET biosensors. Hardware Integration: Apply basic electrical engineering principles to interface biological sensors with low-noise