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architectures that enable autonomous, closed-loop scientific experimentation across HPC and instrument facilities. Integrate agentic frameworks with provenance and orchestration layers so that AI agents can plan
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facilities to ensure safe, reliable, predictable, and efficient operations. This scope includes the HFIR maintenance program and processes; implementation of corrective, predictive, preventative, and
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, reliable, predictable, and efficient operations. This scope includes the HFIR maintenance program and processes; implementation of corrective, predictive, preventative, and modification work activities; work
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status and performance to ORNL management Comply with ORNL environment, safety, health, and quality program requirements Maintain a strong commitment to the implementation and perpetuation of ORNL values
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objectives and technical requirements; developing project execution plans; and managing projects to scope, schedule, and budget Comply with ORNL environment, safety, health, and quality program requirements
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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to process-property relationships. A background in processing and characterization of metals, and physical metallurgy is preferred. Strong communication and program management skills are required
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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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, this position is considered remote-eligible for ORNL in pre-approved locations. Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs. Note about
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applicable electrical codes and standards, ensures safety, reliability, and reproducibility for long-term sustainability of the program. Represent the team in conceptual design reviews to ensure assigned work