11 machine-learning-phd-in-netherland Postdoctoral research jobs 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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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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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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, 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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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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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
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) Applicants must have completed all requirements for a PhD (or equivalent) in Physics, except the dissertation, at the time of application. Additional qualifications (required at time of start) Applicants
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, work independently, learn new skills, and contribute positively to departmental culture. The department is especially interested in candidates who can contribute to the diversity and excellence