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, including pretrained universal models and models tailored to specific chemical and materials systems. Develop, debug, profile, and optimize scientific codes and workflows on massively parallel computing
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Science Engagement Section in the National Center for Computational Sciences
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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successful candidate will collaborate with scientists in DIS, Environmental Sciences division and Argonne leadership Computing Facility to further develop the AI foundation models, benchmarking and deploy them
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kernel design, communication–computation trade-offs, or performance modeling on heterogeneous systems. Theory of parallel algorithms — communication lower bounds or work–depth analysis of sparse and graph
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Requisition Id 17270 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing for lattice