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: Machine Learning / Machine Learning Lattice Field Theory Nuclear Theory lattice gauge theory Nuclear astrophysics Appl Deadline: 2026/02/01 11:59PM (posted 2025/11/04) Position Description: Apply
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passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws
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with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating
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background in physics or mathematics or interdisciplinary biophysics, and experience in machine learning is preferred. 3. Have published high-level research papers in related professional fields. 4. Have a
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holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws
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passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws
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: High Energy Physics / accelerator , astrophysics , BSM , CMS , cosmology , Dark Matter , Experiment , Flavor Physics , Higgs physics , Lattice QCD , LHC , Machine Learning , Neutrino , Neutrino physics
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Central China Normal University, Physics Position ID: CCNU-Physics-PDLQCD2025 [#29851] Position Title: Position Location: Wuhan, Hubei 430079, China [map ] Subject Areas: Machine Learning / Machine
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. - Research Areas: Positions are focused around Deep Learning and Inverse Problem Regularization. Successful candidates will engage in diverse projects ranging from provincial to national levels, in
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of expertise of an applicant are pure, applied or computational mathematics. The successful candidate will have no obligation to teach, but will be required to apply for an external funding from National Natural