328 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory in United States
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, Integrity, Teamwork, Safety, and Service. As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab
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Requisition Id 15757 Overview: We are seeking a Computational Scientist for the Multiscale Materials group in the Computational Science and Engineering Division (CSED). The candidate will be
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Requisition Id 15695 Overview: We are seeking a mid-level Computing Control Room Operator who will focus on responding to upset conditions in the data centers. This position resides in the HPC
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Requisition Id 15769 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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strategies. This leadership role will serve as the Group Leader for the Remote Sensing and Environmental Informatics (RESI) Group. The group’s mission is to build world-class capabilities in scientific data
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Requisition Id 15618 Overview: We are seeking a Computational Condensed Matter Physicist who will perform state-of-the-art numerical simulations of quantum magnets (i.e., quantum spin systems
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resources. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner. Ensure compliance program requirements for environmental, safety, health, and
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groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments. ESED is the national steward for research, development, and demonstration of centrifuge
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with the world-leading capabilities of Oak Ridge National Laboratory (ORNL) to deliver groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and