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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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record with publications in journals/conferences related to scientific visualization, scientific computing, and/or artificial intelligence. Strong experience in using techniques or tools relevant
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational
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: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications Delivery and support of mathematical
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Computer Science, Data Science, Computational Science, a scientific domain relevant to AI (e.g., physics, biology, chemistry, climate), or a closely related field (within the last 5 years or near completion
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advanced computational approaches, software engineering, high-performance computing, and an understanding of materials science, with an emphasis on metallurgy related to phase transformations and/or
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Requisition Id 16016 Overview: Water and energy systems are deeply intertwined, and advancing science at their intersection is critical to the nation's future. We are seeking two Post-doctoral
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Requisition Id 15764 Purpose The Glenn T. Seaborg Initiative (GTSI) of Oak Ridge National Laboratory (ORNL) is committed to enhancing and maintaining US capabilities in actinide science and
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and
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scientific papers in key journals and present at key meetings. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and