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with computational experts at the Computational Science (CPS) division, designing and executing ML experiments on leadership-class computing facilities such as the Aurora and Polaris supercomputers
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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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of 2026. A new collaboration between Argonne National Laboratory, the University of Notre Dame, and the University of Illinois at Urbana-Champaign supported by Quantum Information Science Enable Discovery
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