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science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information
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) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
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the Materials Engineering Group within the Large Scale Structure Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The selected candidate will work in a
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Coauthor peer-reviewed publications, technical reports, and presentations. Seek membership and service opportunities in
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed
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an excellent opportunity to collaborate with multi-displinary domain scientists and advance large-scale scientific AI/ML models. Major Duties/Responsibilities: Research and development of scalable AI, ML, and
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding