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experience. Knowledge of machine learning. Notes: Appointment Type: This is a full-time, 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing
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networks) for simulating quantum computer performance. Relevant publication record and clear, effective written/oral communication of scientific results. Knowledge of quantum information science relevant
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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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, 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