355 computer-security "https:" "https:" "https:" "The University of Manchester" positions at Oak Ridge National Laboratory
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Requisition Id 16056 Overview: Oak Ridge National Laboratory (ORNL) delivers scientific discoveries and technical breakthroughs needed to provide solutions in energy and national security and drive
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, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together
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program and contractual requirements. Reviews and interprets government and ORNL procurement policies, regulations and procedures. Basic knowledge and experience in applying procurement policies and
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solutions to compelling problems in energy and security. We are seeking a Research Associate (RP02) who will support the Plasma Exhaust and Particle Control (PEPC) Group in the Fusion Energy Division, Fusion
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core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic
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program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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vision: “to be the global leader in high-pressure neutron science through our commitment to providing an unparalleled user experience while enabling complex experiments with the highest standards of safety
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safety basis development in the High Flux Isotope Reactor (HFIR) Upgrades Project Office (HUPO). HFIR is a light-water cooled and moderated research reactor that began full-power operations in 1966
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across diverse clients. You will use Frontier's computational power to scale and validate these privacy-preserving algorithms, enabling breakthroughs across energy and image modeling domains. You will also