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audits, product or project data reviews, and other engineering evaluation work to assure product manufacturability. As a member of the ORNL scientific community, you will be expected to commit to ORNL's
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Engineering Development Center, ORNL’s other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https://www.ornl.gov/directorate/isotopes for more information about
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, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits
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also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content
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experimental setup, data acquisition and data analysis. You will have the opportunity to work with users on a wide range of science topics covered by the instruments. It is expected that you pursue your own
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics
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: Participating in the development of innovative theoretical analysis and computational methodologies for data analysis and/or machine learning technologies, customized to large-scale scientific applications
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, United States of America [map ] Appl Deadline: (posted 2025/10/03 05:00 AM UnitedKingdomTime, listed until 2026/04/04 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Overview: The Data and AI
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intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects for direct collaboration with
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and reliability of scientific discovery. It also offers exciting prospects for direct collaboration with domain experts—such as those in neutron scattering and urban science—to apply and evaluate