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postdoctoral position supported by the Simons Collaboration on Universal Statistics in Number Theory. The Postdoctoral Fellow will conduct research in one or more of the areas supported by the Simons
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Theoretical Nuclear/Hadronic Physics at Indiana University The Nuclear Theory Group in the Department of Physics at Indiana University Bloomington (IU) invites applications for a postdoctoral research position
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learning theory. Hands-on experience with machine learning or deep learning models for finance or economics. Excellent written and oral communication skills. Ability to work independently, manage deadlines
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of the top 80 universities in the world. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. Established in 1904
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technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop ground-breaking methods and theories, and therefore solving fundamental problems in science, technology
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generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to conduct Density Functional Theory
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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to work with theorists and experimentalists in the Department of Physics and the larger Cornell community. Our group has broad interests in hard and soft condensed-matter physics, including (but not limited