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expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling
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, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a PhD degree in Physics or related fields from a recognized university
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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. Preference will be given to candidates with a strong background in gravitational wave detection, gravitational wave cosmology, gravitational wave data analysis, and/or numerical relativity simulations
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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5
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expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling
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, numerical analysis, discrete math or other area is desirable. Experience in the use of a computer algebra system and teaching experience or an additional background in physics, computer science or engineering
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experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a Master's degree (Bachelor's degree will also be considered) with outstanding performance in Physics
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supernova neutrino background • Supernova burst neutrinos in the multi-messenger era • Numerical simulation of core-collapse supernovae IHEP values diversity and welcomes candidates from all backgrounds
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. These include postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Computational Mathematics, Numerical Analysis