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The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
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-driven X-ray free-electron laser (XFEL) for attosecond science. The selected candidate will play a leading technical role in the design of a next-generation compact XFEL capable of producing agile
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute to
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We are seeking a highly motivated and creative Postdoctoral Researcher to join the X-ray Science Division (XSD) at Argonne National Laboratory. The successful candidate will develop an AI-enabled
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing
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below: https://www.anl.gov/cse/atomic-molecular-and-optical-physics Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics, chemistry, materials science, or
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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experience using diffusion-based or other generative AI methods and multimodal data training approaches, fine tuning and optimizing inference is desired. Background in atmospheric science, especially weather
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Position Overview We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS) at
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The High Energy Physics (HEP) Division, in collaboration with the Materials Science Division (MSD) and Q-NEXT at Argonne National Laboratory, seeks a postdoctoral researcher to focus on applied