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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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instructional design. Experience leading multi-course curricula or program-level instructional design projects within scientific, technical, or regulatory environments (DOE, DOD, or similar). Proficiency in
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grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum computing), EMT simulations, and power electronics
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languages Extensive experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL) Experience working on high-performance computing (HPC) systems
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material, device, and process scales Plan and execute experiments to support and augment modeling efforts Conduct simulations using state-of-the-art tools to supplement model development Contribute
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computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications. Our Group: MMF is a computational multiphysics
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computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications. Our Group: MMF is a computational multiphysics
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computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications. Our Group: MMF is a computational multiphysics
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computing), EMT simulations, and power electronics control. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models for transmission or distribution grids, synchronous generators, large
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, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for Computational Sciences (NCCS), you