221 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" positions at Oak Ridge National Laboratory
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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 15863 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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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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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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, 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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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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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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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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using approved technologies and systems to manage training data, records, and reporting, ensuring accurate and timely submission for course credit. Forecast learner demand and assist with scheduling