261 engineering-computation-"https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at Oak Ridge National Laboratory
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with dynamic and rapidly evolving research and development activities within the Isotope Sciences and Engineering Directorate (ISED) as part of a multi-disciplinary team. This position resides in the R&D
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scientific knowledge and develop innovative strategies and technologies that strengthen the nation’s leadership in sustaining Earth’s natural resources. Our R&D staff conduct research, develop technology, and
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scientific knowledge and develop innovative strategies and technologies that strengthen the nation’s leadership in sustaining Earth’s natural resources. Our R&D staff conduct research, develop technology, and
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Division (MSD) of the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research team carries out high quality R&D focused on the polymer composite and advanced
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Science, Computer Engineering, Computational Engineering, or a closely related field. At least 2 years of experience working with Linux-based systems; familiarity with core utilities and managed services such as
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Requisition Id 16064 Overview: The Power Systems Resilience (PSR) Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD
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members, world-leading user facilities, and an extraordinary breadth of expertise spanning neutron science, computational science, materials science, nuclear energy, isotopes, biological and environmental
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adversaries. The directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing
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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Development and implementation of control drawing standards for the SNS ICS; work with other designers and engineers to ensure drawings
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institution, national laboratory, university, or technology-focused organization. Familiarity with high-performance computing, artificial intelligence, quantum computing, or data science concepts. Experience