412 distributed-computing-associate-professor positions at Oak Ridge National Laboratory
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Requisition Id 16799 Overview: We are seeking an Instrument Support Electrical Engineer to support the High Flux Isotope Reactor (HFIR) neutron scattering instruments and associated infrastructure
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applications across heterogeneous, geographically distributed computing environments, integrating compute, storage, networking, and visualization resources into cohesive, end-to-end systems. The WES Group sits
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Requisition Id 16517 Overview: We are seeking a HFIR Instrument Support – Electrical professional to support the High Flux Isotope Reactor (HFIR) neutron scattering instruments and associated
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for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our
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treat one another, work together, and measure success. Basic Qualifications: BS degree or higher in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering
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Duties/Responsibilities: Assist the editing and review process of external news stories and content by managing the workflow of news content via Smartsheet. Distribute news content through the Lab’s
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of responders by use of radio, telephone, computer, logs, and other means. Simultaneously using multiple monitors and systems associated with LERC operations. Provide emergency medical assistance to the public by
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advance the secure computing environments behind some of the nation’s most consequential national security, intelligence, and scientific missions. You’ll have genuine ownership over mission-critical
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vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions. Implement cluster
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vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions. Implement cluster