312 cloud-computing "https:" "https:" "https:" "St" "University of St" positions at Oak Ridge National Laboratory
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Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
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/Responsibilities: Provide engineering support for Cooling Systems equipment and projects. Perform hydraulic analysis using computational fluid dynamics (CFD) software to understand performance limitations in
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Requisition Id 15983 Overview: We are seeking an R&D Associate who will focus on developing and applying advanced signal processing, wireless communications, and AI techniques to RF sensing, drone detection, and power grid waveform analytics. You will apply methods traditionally used in...
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and participation in an ongoing random drug testing program. More About UT-ORII: The University of Tennessee-Oak Ridge Innovation Institute is a partnership of Oak Ridge National Laboratory (ORNL), and
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a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa Sponsorship
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a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80
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hiring an Infrastructure Operations Center Systems Administrator! This position provides computing and storage infrastructure for the enterprise operations of the Lab. Additionally we provide a 24/7
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(ORNL). The D&C group carries out experiment-based research and development work in support of ongoing science and technology research for the U.S. DOE Fusion Energy Sciences Program. Major Duties
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post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event
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a team. Comfortable in a multi-disciplinary environment. Preferred Qualifications: Experience conducting land surface model simulations in high-performance computing environments, evaluating models