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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in
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more than five years before application; all degree requirements must be completed before the appointment begins. Hands-on research experience building, aligning, or characterizing optical systems
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the last 5 years. Preferred Qualifications: Proven RDD&D experience in urban-scale building energy modeling. Experience planning and designing solutions for a variety of community projects, including
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the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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passionate about leveraging their experience to enable real-world, quantifiable impacts across a variety of U.S. industries including chemical production, forest products, and critical minerals. The candidate
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. Applicants must have completed all degree requirements prior to position start. Preferred Qualifications: Proficiency with specimen preparation using standard metallography and Focused Ion Beam (FIB
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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–experiment (ModEx) approach accelerated by artificial intelligence (AI) to advance predictive understanding of how plant–microbial–soil interactions vary across inundation and salinity gradients to shape