320 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Oak Ridge National Laboratory in United States
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response process to investigate and fix operational issues from bare metal through the OS to the storage system software and/or application code. Provide guidance, training, and self-service tools to assist
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the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once
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on-premises and in the cloud. Work with researchers and developers to configure complex pipelines to streamline multiple code repositories for automated deployments/upgrades, and work with others across
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funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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and development. Address in a timely manner all concerns expressed by staff and any disciplinary actions. Lead by example, using the principles in ORNL’s “Research Code of Conduct” as a guide for
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in Computer Science, Data Science, Applied Mathematics, or a related field. Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or TensorFlow
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Requisition Id 16108 Overview Oak Ridge National Laboratory (ORNL) is the largest Office of Science national laboratory within the U.S. Department of Energy (DOE) system. With more than 7,000 staff
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University of Tennessee faculty through joint research engagement and student mentorship. ORNL is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research
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those skills to a variety of problems, and the ability to determine and understand the broader context of his or her research. Preferred Qualifications: Proficiency in multiple modern coding languages is