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methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In addition to software development/application, you will also engage with the broader community
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workflows that support reuse, reproducibility, and long-term value of research data for downstream analytics, modeling, algorithm development, and emerging data-driven methods. Contribute to R&D and mission
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(CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation. Key Responsibilities: Design and Development for Security
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technical foundations and development of innovative approaches for individual components and integrated systems that meet the rigors of the fusion environment while delivering robust, high-performance
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expected to contribute to the development and application of advanced manufacturing simulations, and machine learning (ML) models relevant to additive manufacturing, virtual manufacturing, material
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of gaseous enriched stable isotopes and supporting advanced enrichment technology outcomes through gas chemistry and/or analytical chemistry research and development. This group focuses on gaseous chemistry R
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: PhD in Nuclear Engineering, Mechanical Engineering, Thermal-Mechanics, Fluids, or a closely related field. Experience in the development and application of complex engineering codes and preferable
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. The successful candidate will have the strategic mindset, technical breadth, and leadership skills to stand up a mission-driven organization, guide its evolution, manage its operations, and cultivate a world-class
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with national and global impact. Lead and contribute to the development of strategic initiatives such as regional resilience, AI-enabled automation and discovery to advance biotechnology, and quantum S&T
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safety basis development in the High Flux Isotope Reactor (HFIR) Upgrades Project Office (HUPO). HFIR is a light-water cooled and moderated research reactor that began full-power operations in 1966