236 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Oak Ridge National Laboratory in United States
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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Requisition Id 15631 Overview: Oak Ridge National Laboratory (ORNL) is seeking data management leader for our world class earth and environmental data centers in the Environmental Sciences Division
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configuration control. This position resides in the Data and Communications Services Group (DCS) in the Fabrication Instrumentation and Inspection Division (FIID), and Facilities and Operations Directorate (F&O
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through multidisciplinary research, data analytics, modeling, engineering design, decision support, and visualization. The group develops innovative tools and technologies to enhance the efficiency
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Requisition Id 16004 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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, engineers, and program managers to gather technical information and translate complex material into accurate, web-optimized formats. Draft and edit web content to ensure clarity, technical accuracy, and
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Fuel Fabrication (PFF) Group as a highly motivated individual with expertise in applying advanced characterization technique and data analysis skills to coated particle fuels. The PFF group is dedicated
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Requisition Id 16005 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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, supported by: Multiscale modeling (material (molecular) → process → manufacturing (scale up)) Data-informed experimentation Selective use of AI/ML and big-data techniques where they add real value