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for the Advanced Nuclear Reactor and Fuel Cycle Engineer (Staff) role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics, reactor core, spent fuel
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for the Advanced Nuclear Reactor and Fuel Cycle Engineer (Associate) role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics, reactor core, spent
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multidisciplinary R&D projects involving modeling, simulation, hardware validation, and technology demonstration. The candidate will collaborate with researchers across ORNL and external partners from industry
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, the successful candidate will focus on research and development of grid-edge sensing, reliable timing, model aggregation, and hardware-in-the-loop validation for modern power systems. The objective is to improve
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visualization, modelling for disordered systems, or improved automation, that are applicable across the instruments in the suite. As part of your career, you will have opportunities to use other neutron
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, analyze experimental data, and refine computational models based on observed performance Analyze and interpret experimental and simulation data using appropriate statistical and computational methods, and
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-dimensional data analysis, real-time data visualization, modelling for disordered systems, or improved automation, that are applicable across the instruments in the suite. As part of your career, you will have
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Associate to support performance portable software for applications in coupled physics applications. The successful candidate will have a strong background in modeling and simulation of physical phenomena
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Computer-Aided Design (CAD) software, creates robust, detailed 3D models and drawings that represent solutions to complicated manufacturing, assembly, and customer requirement driven equipment
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of the group. Strong knowledge of performance modeling, simulation, and benchmarking of parallel and distributed computing systems and of the workflow systems that run on them. Familiarity with the FAIR data and