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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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novel physics analyses in the area of effective fi eld theory, as well as to contribute to the Phase 2 upgrade of the endcap calorimeter, the development of novel calorimetry, the operation of the CMS
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world-leading research in programming language design, semantics, interactive theorem proving, and formal verification. About the research project We are looking for two Postdocs with a strong background
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, CNCS/CTMS, Number Theory, Probability, String Theory, Algebraic Geometry, and Nonlinear & Complex Systems. Manage event marketing, budgets, visa coordination, reimbursements, and honoraria. Plan and
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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enthusiastic about this position, just apply here: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/postdoc-position-in-high-dimensional-covariance-estimation ! Please enclose: your letter of
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Position Description ShanghaiTech University is looking to fill multiple postdoc positions at the Institute of Mathematical Sciences. About the Institute of Mathematical Sciences Opening in fall
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Position Description Description of Job: As a Postdoc fellow, you will have the chance to conduct cutting-edge research in materials physics, taking advantage of state-of-the-art tools that will
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develop the data-driven foresight methods to find out. About us At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems
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field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with backgrounds