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oversight of ORNL Material Balance Areas (MBA) and NMC&A activities which potentially cover all areas of NMC&A (Program Management, Material Control, Material Accounting, Physical Inventory, Nuclear Material
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Genesis Mission , candidates are encouraged to also articulate how their research will leverage or advance AI, advanced computing, data, automation, and other emerging capabilities to accelerate discovery
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers
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. Experience with qualitative and quantitative data, bibliometric data sources, and research metrics. Experience with data extraction, manipulation, analysis, and visualization. Knowledge of programming
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initiatives, innovation showcases, entrepreneurship programs, and regional economic development efforts. Cover events from planning through post-event communications, including attending events, interviewing