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Intelligence, Machine Learning, Quantum Information and Quantum Simulation. The successful candidate will be expected to lead an independent research program in particle theory to strengthen and complement
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This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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limited to, ATLAS at CERN, the South Pole Telescope, and the Simons Observatory. The candidate is also expected to work closely with computational experts at the Computational Science (CPS) division
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in detection and analysis of rare noble gas isotopes through Atom Trap Trace Analysis (ATTA), an efficient and selective atom counting method based on laser cooling and trapping. This position will
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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chemical analysis methods (e.g., SEM, TEM, XRD, XPS, FTIR) Strong background in laboratory practices and data analysis Excellent written and verbal communication skills Demonstrated ability to work
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four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure
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, electrochemical floating tests, impedance spectroscopy, and battery performance testing Familiarity with in-situ characterization methods (e.g., FT-IR, XAS, TEM) to investigate interfacial reactivity and analyze
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the