313 application-forms-"https:"-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory
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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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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
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supporting enterprise systems or applications using standard monitoring and alerting tools. Basic understanding of system administration concepts such as patching, configuration, and vulnerability management
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National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able
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to accomplish multiple tasks within deadlines, and adapt to ever changing needs Please contact Sachin Nimbalkar at nimbalkarsu@ornl.gov or (865) 576-3590 for further details. Special Requirements: Applicants
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individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting