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the nation’s most complex challenges. ORNL employs over 6,200 staff dedicated to advancing science and technology to support energy, environmental, and national security missions. ORNL is committed to fostering
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Engineer to support research and development (R&D) activities that advance isotope enrichment technologies and stable isotope production. EICE focuses on the application of hardware and software solutions
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maintainability—especially for components that must work reliably with on-premise hardware and OS requirements. Assist staff on upgrades, security hardening, monitoring integration, and scalability of all cluster
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scientific research. Typical systems integrate PLC and FPGA hardware platforms within the EPICS framework. As a member of the team, you will work closely with control system engineers and accelerator operators
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choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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) Technician to support research and development (R&D) activities that advance isotope enrichment technologies and stable isotope production. The EI&C Engineering Group focuses on the application of hardware and
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with our partners and sponsors. Research activities include, but are not limited to: Rapid prototyping and evaluation of experimental systems, including hardware, software, tools, and applications, and
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Requisition Id 15974 Overview: We are seeking a Computer Engineer with a focus on Hardware Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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, software quality assurance, and cyber security. Additionally, you will ensure conformance to software requirements through effective software quality assurance activities, providing the basis for planning