255 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at Oak Ridge National Laboratory in United States
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models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments
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, verifying alignment with ORNL, DOE, project, and program quality objectives. Facilitate the integration of quality principles and methodologies, as described within the Quality Assurance Program (QAP
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aspiration to be a key player in establishing a vibrant public-private fusion partnership program in the US. Responsibilities will include developing partnerships with the private sector that leverage and
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Requisition Id 15784 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is responsible for providing computational resources at extreme
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&D, production, dispensing to support the ORNL Stable Isotope Program. Specifically, we handle and dispense enriched gases, transform stable isotopic material into enriched gaseous products, purify
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&D, production, dispensing to support the ORNL Stable Isotope Program. Specifically, we handle and dispense enriched gases, transform stable isotopic material into enriched gaseous products, purify
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Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
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, contributing to an effective nuclear assurance program. This position resides in the Contractor Assurance Group in the Office of Integrated Performance Management within the Office of the Laboratory Director for
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, sponsor) guidelines. Adhere to DOE publishing requirements. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and
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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model