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Expertise in using high-performance computing (HPC) platforms for delivering breakthrough scientific results A record of productive and creative research proven by publications in peer-reviewed journals and
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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independent and collaborative research in of AI for science, focusing on high-impact scientific problems. Investigate energy efficiency as well as accuracy and performance of modern AI and/or incorporate LLMs
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post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event
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of high-performance computing and its applications. An excellent record of productive and creative research, as demonstrated by publications in top peer-reviewed journals. Strong problem-solving skills and
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct