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thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary
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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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). The position requires engagement in pioneering research at the crossroads of machine learning and accelerator physics, aimed at improving the performance and capabilities of our light source facility. Modern
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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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, 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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. Excellent mathematical calculation to perform basic accounting skills, calculate testing equations, and perform statistical calculations. Intermediate level computer skills for word-processing programs
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, calculate testing equations and perform statistical calculations. Intermediate level computer skills for word-processing programs, database programs, and data management. Excellent writing and printing skills