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Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About” tab at https://jobs.ornl.gov . #LI-DC1 This position will remain open for a minimum of
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pay range: Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with
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://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 legacy of addressing
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of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: Ph.D. in mathematics, engineering, data/computational science
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Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses on scientific computing with a strong emphasis on scientific
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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://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 legacy of addressing
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related experimental data. This position resides in the Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL) and is embedded in the MAIQMag (Multimodal AI
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Fellowship in mathematics and scientific computing. This prestigious postdoctoral fellowship is supported by the Applied Mathematics Research Program in the U.S. Department of Energy’s Office of Advanced
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement