247 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
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AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier
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experts. You will bring creative thinking, teamwork, and machine learning skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and
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ORNL research through delivery of innovative, cost-effective technology solutions, providing an efficient IT user experience, while continuously improving performance, reducing complexity and risk. You
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in nuclear engineering, mechanical engineering, or a related field with 12
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Requisition Id 15502 Overview: The Pension and Savings Administration group within the Business Services Directorate (BSD) is looking for a highly motivated individual to join the Pension and Savings Administration team. The primary responsibility of the group is to maintain and administer the...
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. Basic Qualifications: BS degree in chemistry, engineering, biology, physics, or a closely related discipline. A minimum of 2 years of analytical laboratory experience. Preferred Qualifications
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allocation, job scheduling, and load balancing to maximize the efficiency of HPC systems. Team supervision and mentorship: Lead and mentor a team of engineers and administrators, providing technical guidance
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. The position resides in ORNL’s Science and Technology Communications Office and is part of a team of experienced communicators embedded with the National Security Sciences Directorate (NSSD). The ideal candidate
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Qualifications: Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years. Demonstrated expertise in computed tomography (CT), with experience in sparse-view and