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mathematicians, computational scientists, and discipline scientists. Should be able to interact effectively with members of a multidisciplinary team. Collaborative skills, including the ability to work well with
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. The successful candidate’s research will involve synergistic collaborations within a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics and
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-inspired research relevant to microelectronics. The candidate will be part of a highly interdisciplinary project involving X-ray scientists, physicists, materials scientists, and computational scientists
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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research will involve synergistic collaborations with a multidisciplinary team involving engine modelers, computational fluid dynamics (CFD) experts, and computational scientists to enhance the predictive
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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researchers including laboratory scientists, professors, postdoctoral researchers, and students, to facilitate the use of data management tools, develop data sharing protocols, and assist in the curation and
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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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publishing research findings. The project will be conducted in close collaboration with scientists within a team. Position Requirements Required skills and experience: Completed PhD (typically completed within