13 machine-learning-phd Postdoctoral positions at University of California in United States
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extensive experience in batteries, electrolyzers and fuel cells, electrode material synthesis, spectroscopy, detailed diagnostics, and cell design) to aid in electrochemistry research. What is Required: PhD
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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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research focuses on a geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics
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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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offers excellent training opportunities at the intersection of machine learning and applied mathematics. Qualifications: - Applicants should have (or expected to get in a near future) a Ph.D. in applied
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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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VAPs teach no more than three quarter classes per year, and will receive research support for conference travel and other needs. Strong promise in research and teaching is required. Appointments will be
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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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for a PhD Degree in Oceanography / Marine Science / Environmental Fluid Mechanics, or a related discipline except the dissertation at the time of application Additional qualifications (required at time of
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for Geographic Information and Analysis (NCGIA). Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements for a PhD Degree in Geography or a related