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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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The Materials Science Division is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Chemistry, with a focus on energy storage and conversion
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architecture is desirable Proficiency in Python for computing observables and analyzing quantum chemistry outputs Interest in ultrafast x-ray science and synchrotron/FEL sources, with a focus on theoretical
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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The Decision and Infrastructure Sciences Division in Argonne’s Nuclear Technologies and National Security (NTNS) Directorate is seeking a highly qualified and motivated Postdoctoral Researcher
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Directorate (PSE) at Argonne National Laboratory is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Science Discovery, with a focus on critical
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interpersonal, written, and oral communication skills. Experience with molten salt systems, actinide chemistry, or materials science is desired, but not mandatory. Experience working safely with hazardous
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The Q-NEXT National Quantum Information Science and Research Center based at Argonne National Laboratory invites applications for a postdoctoral position to conduct research in the field of material
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We invite applications for a postdoctoral position in working at Advanced Protein Characterization Facility (APCF) in the X-ray Science Division at Argonne National Laboratory. The selected
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of molten salt chemistry and electrochemistry Develop novel process monitoring and control technologies applicable to molten salt and liquid metal systems Develop advanced molten salt flow systems to enable