13 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of California
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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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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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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programming languages such as Python, with experience in using machine learning libraries and frameworks. Experience with high-performance computing. Notes: This is a full-time, 2-year, postdoctoral appointment
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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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must have completed all requirements for a PhD program (or equivalent) except the dissertation in plant biology or related discipline, at the time of application. Additional qualifications (required
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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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geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics. Qualifications: - Applicants
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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
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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