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transformative experiments at Jefferson Lab and the EIC at Brookhaven National Laboratory Collaborate with a diverse team of physicists and engineers working at the intersection of nuclear physics, materials
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of Pittsburgh, University of Texas Medical Branch and BARDA, aimed at advancing pandemic bio-preparedness through AI-driven forecasting. With advances in machine learning frameworks and emerging accelerator
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-inspired research relevant to microelectronics. The candidate will be part of a highly interdisciplinary project involving X-ray scientists, physicists, materials scientists, and computational scientists
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experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading
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. The group develops modeling and optimization tools to accelerate the design, analysis, and deployment of efficient, flexible, and cost-effective industrial and energy processes. The postdoctoral researcher
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accelerator facility, a DOE supported national user facility for low-energy nuclear physics research. Besides high intensity stable beams, ATLAS provides world-unique rare isotope beams from either the nuCARIBU
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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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and methods, fostering innovation and accelerating progress in the development of efficient solar energy conversion technologies. Position Requirements Recent or soon-to-be-completed PhD (within
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate