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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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Description Main Responsibilities 1. Conduct Drug discovery and high throughput genomic imaging study. 2. Stablish high throughput (HTS) techniques, including automated seeding, dispensing, and transfection
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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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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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. - 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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. 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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execute in vivo or cellular electrophysiology experiments according to the research needs, including the preparation of electrodes, signal acquisition and processing. Responsible for analyzing and
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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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uniquely combines modern urban amenities with rich cultural traditions, providing an ideal setting for both professional and personal growth. Application Process: - Interested candidates are requested