328 developer-"https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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resources and collaborating across ORNL, federal agencies, and academic partners. Key Responsibilities: Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular
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carlo), as well as experience in developing and/or applying advanced AI/ML methods to accelerate materials discovery. The project will involve integrating such theory-informed AI-models for creating
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of the Research Accelerator Division, Neutron Sciences Directorate at ORNL. The group develops fully integrated control system solutions to safely deliver highly reliable beam to SNS instruments in support of
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isotopes spanning nearly every element of the periodic table. Innovative techniques are developed to minimize losses while transforming these isotopically enriched materials into products used by science and
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Domestic Uranium Enrichment Centrifuge Experiment (DUECE) by technically leading the multi-disciplinary IPT’s responsible for research, development, and design of specific sub-systems within the enrichment
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scientific vision and strategic priorities aligned with DOE BER, ASCR, and joint BER–ASCR missions. Lead the development of AI‑enabled, data‑centric, and HPC‑integrated biological research programs that couple
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, ASME, ICC, IEEE, etc. Assist with field implementation, testing, and project execution for engineering modifications. Provide technical support for troubleshooting equipment issues and developing
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registrations, and expense settlement, following ORNL policies. Technical Documentation: Format and prepare technical documents, correspondence, and reports with accuracy and professionalism. Conduct grammatical
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fusion energy research and development. Leveraging recent growth in private investor interest in fusion development, this individual will work closely with the Fusion Energy Division Director and Private
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) characterizing pellet fueling dynamics using multiple observables, 2) measuring and predicting the dynamic and cumulative impact on long-pulse particle balance and plasma performance, and 3) developing real-time