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to complex problems Ensure compliance with environmental, safety, health, and quality program requirements Coordinate radioactive and hazardous waste characterization Maintain logbooks and batch record
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to complex problems Ensure compliance with environmental, safety, health, and quality program requirements Coordinate radioactive and hazardous waste characterization Maintain logbooks and batch record
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members, world-leading user facilities, and an extraordinary breadth of expertise spanning neutron science, computational science, materials science, nuclear energy, isotopes, biological and environmental
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solutions, including the software and computing infrastructure for the Spallation Neutron Source (SNS) and High Flux Isotope Reactor (HFIR) neutron instruments. The software is based on the EPICS framework
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, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: Master’s degree or PhD in information science, library science, data science, or a
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) characterizing pellet fueling dynamics using multiple observables, 2) measuring and predicting the dynamic and cumulative impact on long-pulse particle balance and plasma performance, and 3) developing real-time
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) characterizing pellet fueling dynamics using multiple observables, 2) measuring and predicting the dynamic and cumulative impact on long-pulse particle balance and plasma performance, and 3) developing real-time
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for every task, and never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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, escalation, and documentation to resolve events/issues, efficiently minimizing customer impact. Engaging with and providing outage reports to various levels of management. Ensure systems are configured and
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and hydraulic models to assess water availability, river behavior, and watershed dynamics, and to anticipate changes in water quantity and quality. Using high-performance computing and large-scale