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The High Energy Physics Division at Argonne National Laboratory (ANL) invites applications for a Postdoctoral Research Associate position to join our team working on the ATLAS experiment
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physics), device synthesis, and quantum materials (including optics, photonics, spectroscopy, and optically active point defects). Also, familiarity with nanofabrication (optical and e-beam lithography
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Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators. The Accelerator Operations and Physics (AOP) Group
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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mathematics, or physics to apply their expertise to challenging problems in computational imaging, while collaborating with leading experts in physics, biology, and environmental science. Research Context Soil
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, enabling multimodal in-situ investigation in areas of physics, chemistry, life and material sciences. We are seeking to fill a Postdoctoral Appointee position to support instrumentation development for X-ray
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bioreactors; collect, analyze, and interpret biological, chemical, and microbial omics data; and integrate results to evaluate process performance and scalability. The candidate will contribute to process
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The Theory Group in the Physics Division at Argonne National Laboratory is now seeking candidates for postdoctoral positions in nuclear theory, to begin as early as Spring 2026. The positions
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beyond traditional error estimators, creating physics-based adaptation algorithms that intelligently predict where refinement will be most beneficial for smarter, more efficient simulations. We seek