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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
-1000 design and construction tasks. We are especially interested in candidates who would, as part of their research program, develop machine learning methods for LEGEND simulations and analysis.The
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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; Architecture, building, planning and design; Arts, humanities and social sciences; Business and economics; Education; Engineering; Environment; Health; Information technology and computer science; Law; Music
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture
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Date August 31, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning