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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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reaction kinetics and complementary physical organic and inorganic chemistry approaches. This is an exciting opportunity for an early-career scientist who is passionate about sustainable materials, catalysis
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quantum information science materials like diamond and SiC. Extensive experience conducting experimental research on materials physics systems, utilizing advanced synthesis, fabrication, spectroscopy
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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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micro-CT, ultrasonic methods, and x-ray-based characterization Contribute to hardware and software development for experimental platforms Process, interpret, and manage large datasets Present research
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(within the last 0-5 years) in field experimental physics, engineering, or a closely related field Excellent written and verbal communication skills Demonstrated ability to work effectively in a
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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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) in Physics, Materials Science or Chemistry. 1. Demonstrated ability to conduct independent research in the exploratory synthesis and crystal growth of novel quantum materials using techniques such as
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The Particle Theory Group in the High Energy Physics Division at Argonne National Laboratory invites applications for one or more Postdoctoral Research Associate positions in theoretical particle
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qualified candidates to conduct theoretical research on dark matter and physics beyond the Standard Model, with a particular emphasis on opportunities enabled by novel quantum magnonics technologies