324 computational-physics "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at Oak Ridge National Laboratory
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regulatory requirements. Experience with conduct of operations or equivalent programs (e.g. DOE O 422.1, NRC licensed facilities, Naval Nuclear Propulsion Program, etc.). Experience with hazardous reactive gas
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components utilized in various enrichment technology systems. Assist in the development of associated procedures and process improvements. Participation in research and development activities associated with
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: The selected candidate will work with technicians, process engineers, quality control engineers, quality assurance staff, supply chain staff, safety & security staff, and project managers to implement plans
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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industrial experience or an equivalent combination of education and relevant electrical experience. Completion of an approved electrical apprenticeship program. Preferred Qualifications: Knowledge of drawings
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Program requirements to maintain accountability and integrity of ORNL locking systems as well as compliance with applicable DOE Orders. This position resides in the Physical Security Team in the Security
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Requisition Id 16124 Overview: We are seeking a Waste Operations Technician who will focus on facilitating physical management and disposal of hazardous, radioactive, and mixed waste from
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are responsible for maintaining the HFIR equipment and facilities to ensure safe, reliable, predictable, and efficient operations. This scope includes the HFIR maintenance program and processes; implementation
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms