200 data "https:" "https:" "https:" "https:" "Dr" "L2CM" uni jobs at Oak Ridge National Laboratory
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simulations or for data-driven modeling. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated system dynamic and transient simulations. Develop different
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing
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professional office environment and ensure front desk areas remain organized and secure. Handle sensitive or confidential information with discretion. Maintain a consistent, reliable work schedule during core
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must have demonstrated ability to derive tangible insights from publicly available information, commercially available information, and community curated sources. The ability to identify network
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candidates in the applicant tracking system. Provide information to TAPs to assist with offers and create offer letters. Coordinate with Human Resources Administrators (HRAs) regarding new hires. Maintain
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Requisition Id 16000 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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Requisition Id 15517 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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effectively to large or small groups on technical and non-technical issues related to the Technical Security program. Understanding of and experience-based familiarity with information security practices
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performance for datacenter applications, especially Large Language Models (LLMs) Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data
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communicate system conditions to stakeholders. Work with system stakeholders to diagnose system statuses and initiate corrective actions. Trend, analyze, and interpret facility system performance data and