342 computing "https:" "https:" "https:" "U.S" positions at Oak Ridge National Laboratory in United States
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testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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understanding of enrichment devices using analytical methods and computational tools such as finite element analysis (FEA). The Senior Electric Motor Researcher will provide research and development (R&D
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, robotics, computer engineering, computer science, or closely related field with at least four years of relevant experience. Programming experience, preferably in Python. Strong desire to learn new skills and
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Requisition Id 15805 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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experience, or a B.S. with 15 years relevant experience. Demonstrated experience engaging with U.S. Department of Energy (DOE) program offices and aligning work with their strategic priorities. Excellent
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Qualifications: An MS in computer science, mathematics, or a related field completed within the last 5 years. A BS degree and at least 2 years of relevant research experience will also be considered. Familiarity
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Informatics portfolio. You will help develop modular and scalable software tools and infrastructure for data processing and data center operations in the Earth, climate, and environmental sciences, such as the
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Informatics portfolio. You will be expected to work with a team as well as independently research and develop AI-driven methods to enhance discovery and usability of Atmospheric Radiation Measurement (ARM) data