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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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techniques such as High Temperature Digital Image Correlation and specialized mechanical testing are advantageous Solid background on materials science and phase transformations of metals and alloys, and
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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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and maintain Python scripts, Arcade expressions, attribute rules, and automated processes (including batch scripts and Windows Task Scheduler jobs). Publish and manage map, feature, image, geoprocessing
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and principles used in similar engineering analysis. Utilize and develop an understanding of industry codes and standard practices. AET resides within the Nuclear Nonproliferation Division (NND) at Oak
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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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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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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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on remote sensing and image analysis. Under the guidance of research staff, the selected applicant(s) will take roles on multidisciplinary teams supporting cutting-edge research and engineering with large
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full stack application and API development. Experience with CI/CD tooling, GitOps, and Kubernetes. Experience with code review and familiarity with tools like git, GitHub and GitLab. Preferred