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Requisition Id 15757 Overview: We are seeking a Computational Scientist for the Multiscale Materials group in the Computational Science and Engineering Division (CSED). The candidate will be
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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, shaping ongoing research projects and leaving a lasting mark. Your role goes beyond the lab. Mentorship will be a key aspect, guiding and inspiring graduate and undergraduate students. As a valued, emerging
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polymerization of polymers coupled with autonomous chemistry https://www.ornl.gov/project/precision-synthesis-polymers-mastering-reaction-equilibria . This position resides in the Soft Materials and Membranes
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scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: The Information Technology Services Directorate at the Oak
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-RESEARCHSCIENTISTAIDATASCIENCESANDAPPLIE [#27280] Position Title: Position Location: Oak Ridge, Tennessee 37831