4 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Argonne National Laboratory
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, astrophysics, collider phenomenology, or cosmology, that overlaps with the scientists and faculty in the HEP groups at both Argonne National Laboratory (https://www.anl.gov/hep/theoretical-high-energy-physics
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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ATLAS group with a focus on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision
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in Artificial Intelligence, Machine Learning, Quantum Information and Quantum Simulation. The successful candidate will be expected to pursue an active research program in particle theory to strengthen