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of machine learning algorithms and experience in machine learning applications related to thermal fluid problems and/or nuclear reactor analysis. Job Family Postdoctoral Job Profile Postdoctoral Appointee
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inverter-based resources for performing real-time simulations in Opal-RT. Develop and prototype advanced control algorithms for grid forming and grid following inverters. Develop and demonstrate
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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(LLMs) to enhance visualization and analysis. Responsibilities include conducting research, optimizing visualization algorithms, applying AI-driven approaches, collaborating across disciplines
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intelligence (ML/AL) algorithms and other computational methods to enhance the structural resolution of current X-ray scattering techniques. This position offers the opportunity to work at state-of-the-art X-ray
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boundaries to design and implement cutting-edge algorithms, models, and simulations that can help decision-makers understand complex systems and make informed decisions. Our group is part of Argonne’s
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate