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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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: Physics / Nuclear Theory , quantum information/computation Appl Deadline: none (offers accepted posted 2025/04/09) Position Description: Apply Position Description The Department of Physics
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professional work requiring specialized knowledge and application and use of concepts, theories, terminology, and practices. Position Status Full Time Posting Number 25FA0757 Posting Open Date Posting Close Date
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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doctrinal legal approach, qualitative mixed methods, and critical legal theories. This involves analysis of publicly available materials and databases, including primary legal materials such as treaties
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easily use the setups. The researcher will use the set-ups to analyze the LCE precursor flow, also comparing with results from simulations and theory, and continuously revise and improve the equipment