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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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success. Basic Qualifications: Ph.D. in electrical engineering, power systems, computer engineering, control engineering, or a closely related field. Strong background in power system modeling, dynamic
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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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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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, profile, and tune first principles materials applications for high performance Adapt, develop, and publish applications and algorithms that scale to OLCF computers Apply and improve advanced computational
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participation in workshops, as well as other program development activities Develop new engineering algorithms and/or write components of new software tools Co-author and contribute to various proposals/grants
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems