12 medical-computer-engineering Postdoctoral positions at University of California in United-States
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Lawrence Berkeley National Lab’s (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Postdoctoral Scholar to join the team. The Electrochemical Engineering Postdoctoral
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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. Conduct research in integrated food-energy-water applications. What is Required: PhD in civil or environmental engineering or related engineering/science discipline with a strong quantitative focus; PhD
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. Qualifications: - Applicants should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and
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should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and programming skills
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, California 95616, United States of America [map ] Subject Areas: Physics / Astronomy , Astrophysics Computational , Machine Learning Salary Range: Starting at $71,491/year or higher depending on experience
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at the time the application is submitted) Ph.D. (or equivalent foreign degree) in physics, engineering, or a related field (electrical engineering, electronics engineering, applied physics, etc). Ph.D. must be
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to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member. Applications are welcome from all areas of theoretical physics, broadly
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and