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the theoretical foundations of machine learning itself, leveraging tools from quantum information, statistical mechanics, and complexity theory to understand and enhance modern AI. Successful candidates will work
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are expected to have a Ph.D. in theoretical particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning
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at the Chinese Academy of Sciences (ITP-CAS) (https://english.itp.cas.cn ) is calling for application for a few postdoctoral fellow positions in 2026. Research areas include but not limited to: 1) Theoretical
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: Machine Learning / Machine Learning Lattice Field Theory lattice gauge theory Nuclear Theory Nuclear astrophysics Appl Deadline: 2026/02/01 11:59PM (posted 2025/11/04) Position Description: Apply
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: Quantum Computing / Quantum Computing High Energy Physics / accelerator , astrophysics , BSM , CMS , cosmology , Dark Matter , Experiment , Flavor Physics , Higgs physics , Lattice QCD , LHC , Machine