339 computer-science-intern-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory in United States
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test and participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Industrial Controls, Electrical or Electronics Engineering, Automation Technology, Computer Networking
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Requisition Id 15764 Purpose The Glenn T. Seaborg Initiative (GTSI) of Oak Ridge National Laboratory (ORNL) is committed to enhancing and maintaining US capabilities in actinide science and
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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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of policies, practices, and procedures. Ensure technical compliance with 10 CFR 830 Subparts A and B affecting facility safety through implementation of ORNL Standards Based Management Systems and internal
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be a part of the Counterintelligence (CI) team responsible for managing and implementing the Cl Program that encompasses all contractor facilities at Oak Ridge, TN; Portsmouth, OH; and Paducah, KY. We
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, information science, web development, marketing, or related field. Minimum three years of experience managing and optimizing digital platforms, particularly WordPress websites. Demonstrated experience implementing SEO
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strong background in quantum computing, computational physics, and a solid understanding of condensed matter quantum many-body theory. This position resides within the Quantum Computational Science group
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Requisition Id 16260 Overview: The Biodiversity and Ecosystem Health group within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL), is seeking an aquatic ecologist
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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