256 engineering-computation-"https:" "https:" "https:" "https:" "https:" "University of Warwick" positions at Oak Ridge National Laboratory
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solutions to compelling problems in energy and security. Building 7930 at the Radiochemical Engineering Development Center (REDC) within the Nonreactor Nuclear Facilities Division (NNFD) at the Oak Ridge
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. This position resides in the Quantum Heterostructures Group in the Foundational & Quantum Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National
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challenges facing the nation. The Field Intelligence Operations Division is seeking a skilled and motivated Enterprise-level Senior Network Engineer to support the management and maintenance of our classified
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benefit both the Lab and the private companies. As part of a team with wide-ranging expertise in fusion science and/or engineering and technology, the candidate will be responsible for leading ORNL’s
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Requisition Id 15046 Overview: Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program. The program is 4-6 months
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to the implementation and perpetuation of values and ethics. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, Materials Science, Nuclear Engineering, or a related discipline
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demonstrating exceptional work in the field of ethics to join our legal team as the ORNL Ethics Officer in Oak Ridge, Tennessee. The goal of the Ethics Program at ORNL is to advance the policy in maintaining
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Qualifications: Associates degree in one of the Chemistry, Chemical Engineering, Materials Science, Nuclear Engineering, or a related discipline A minimum of 5 years of hands-on experience in a laboratory
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Requisition Id 15464 Overview: The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data
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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