234 parallel-and-distributed-computing-"Multiple" positions at Oak Ridge National Laboratory
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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all group projects, ensuring alignment with emerging industry and research trends. Drive the adoption of modern data technologies such as cloud-native architectures, distributed computing frameworks
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communication, and interpersonal skills with an ability to interface with numerous cognizant security agencies, customers, and senior managers. Experience in authorized data transfers across multiple systems and
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environment Ability to track multiple activities that require varying types of support Ability to work with electronic systems such as databases, queries, and the expanded Microsoft toolset (Office, SharePoint
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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collection, materials tracking, and analytical tools. The Group Leader will also provide day-to-day support for Sensitive Compartmented Information (SCI) and Special Access Program (SAP) systems. Qualified
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to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. About ORNL As a U.S. Department of Energy (DOE) Office of
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requirements. Experience with conduct of operations or equivalent programs (e.g. DOE O 422.1, NRC licensed facilities, Naval Nuclear Propulsion Program, etc.). Experience with hazardous reactive gas systems
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laboratory Interpersonal skills and the ability to work well in a team environment Experience working with chemicals Ability to efficiently and effectively balance time to accomplish multiple tasks
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advancing analytical methods alongside their implementation in scalable systems supported by high performance computing (HPC) and automated workflows. Example application domains include dynamic population