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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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position in statistics, machine learning, and data science. The postdoctoral researcher will be mentored by Professor Yiyuan She and will contribute to the development of innovative statistical methods and
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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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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
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. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds, scattering amplitudes and their applications to classical
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Description 1. Equipment Management and Maintenance: Responsible for the daily maintenance, repair and troubleshooting of electrophysiological equipment to ensure that the equipment is in good condition and can
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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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) Excellent previous research record. 3) Proven ability to learn relatively fast advanced areas of modern number theory and/or geometry. 4) Good record of delivered talks and participation in seminars and
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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