81 parallel-computing-"Computer-Vision-Center" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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will contribute to developing and improving the performance of next-generation thermal systems—including HVAC, water heating, and data center cooling—at both the system and component level. This
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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mathematics, computer science, physics, engineering, operations research, or a related quantitative discipline. Demonstrated experience applying Bayesian methods to scientific or engineering problems
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Materials (MsM) group of the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using
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), and data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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new ways of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g
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domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED
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position in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an