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to work independently and to participate creatively in collaborative teams across the laboratory. Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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Requisition Id 15421 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
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Requisition Id 15588 Overview: The Materials Science and Technology Division of the Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL) invites applications for a research staff
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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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interface across multiple layers—from user-facing applications to backend services, to system infrastructure and networking, ensuring the full-stack works together to meet mission objectives. You will apply
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enabled environments and applications. The successful candidate will be working with on the completion and installation of the superconducting magnets for the Material Plasma Exposure Experiment (MPEX) and
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details. Special Requirements: Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment
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web applications and web APIs used by both staff and end-users of the National Center for Computational Sciences (NCCS) computational ecosystem. One of the largest applications the group develops and
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clearance; however, all qualified applicants will be considered regardless of their current clearance status. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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of hire date. This position requires an L clearance; however, all qualified applicants will be considered regardless of their current clearance status. About ORNL: As a U.S. Department of Energy (DOE