217 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Oak Ridge National Laboratory
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; establish capabilities that enable the SNS user program to be successful and incorporate distributed control system best practices. Major Duties/Responsibilities: Establish a vision to successfully create and
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree in physics or related discipline completed within the last five years
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and aligned experience. PhD plus a minimum of 4 years of relevant and aligned experience. Preferred Qualifications: MS degree in computer science, IT, or a related field. 10+ years of relevant
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organizing workshops, reports, position papers and detailed roadmaps to foster cross-agency engagement and outline utility-scale roadmaps for the QHPC initiative. Qualifications: PhD in Quantum Computing
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in the Emerging Technologies, AI & Computing group in the Research Computing Support division in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). This role
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breeding blankets, including computational fluid dynamic (CFD), thermal hydraulic, and magnetohydrodynamic (MHD) analyses. We seek individuals with advanced analytical and computational skills who can use
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Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD
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ORNL and ESED project’s quality assurance requirements. The successful candidate will be responsible for the coordination of division documents through review, approval, and distribution with additional
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Server and administering mail flow, mailbox migrations, DAGs, connectors and public folder management. This position is in the Support Services & Isolated Environments Group in the Research Computing
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing