95 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "UNIV" "UNIV" positions at Oak Ridge National Laboratory
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competitors/frameworks (Mojo and JAX) for extreme‑scale heterogeneous systems. The selected researcher will explore how autonomous AI agents and LLM‑driven code generation can co‑evolve with next‑generation
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consistent with federal regulations, codes, and standards, and ORNL procedures. Coordinate work scheduling for inspections and testing. Assist with the implementation of work controls, processes, and
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visit https://www.ornl.gov/directorate/isotopes for more information about ISED. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
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understanding of engineering specifications, scope of work, governing codes and standards, requirements for test and inspection, QA, vendor documentation requirements, transportation and ESH&Q to procure nuclear
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critically apply design and statistical analysis in ongoing work. Familiarity with medical surveillance, exposure monitoring, and large administrative datasets. Experience developing reproducible analytic code
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to ensure compatibility and safety of system. Inspect electrical systems, equipment, or components to identify hazards, defects, or the need for adjustment or repair and to ensure compliance with codes
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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pool of top candidates and hire staff members who are committed to world-class R&D and aspire to be the best in their field. Lead by example by exercising the principles in ORNL’s “Research Code
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summaries, figures, and reports/publications as appropriate. Participate in code reviews, model reviews, and data readiness reviews to ensure analytical defensibility, transparency, and fitness-for-use in
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. Familiarity with medical surveillance, exposure monitoring, and large administrative datasets. Experience developing reproducible analytic code and workflow. Ability to perform scripting in common statistical