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Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing
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The High Energy Physics Division (HEPD) at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML
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the goal of enhancing predictive capability and scaling of multi-scale and multi-physics simulation codes. The prospective postdoctoral appointee with perform multi-physics and multi-scale CFD simulations
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the scientific discovery process by quickly extracting useful information from vast quantiles of data, and by providing feedback to the experiment system enabling autonomous control and steering. New fast data
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reports, and presenting results at appropriate conferences and in relevant scientific journals. Position Requirements Required Knowledge, Skills, and Experience: Knowledge of X-ray physics, interaction of X
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The Cosmological Physics and Advanced Computing (CPAC) group at Argonne invites applicants for a postdoctoral associate to conduct research on topics related to theory and modeling of large-scale
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finite element models to solve solid mechanics-related Multiphysics problems using both physics-based simulations and data-driven approaches. The focus of this project will be on developing new models
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. The postdoctoral researcher will be collaborating extensively with researchers at Argonne, other national laboratories, as well as universities. Position Requirements A PhD in computational physics, chemistry
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, materials science, physics, or associated field at the PhD Degree level. Job Family Postdoctoral Family Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time As an equal
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qualifications: Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, chemistry, computer science, or similar fields. Experience contributing to scientific software in C++, Python