329 computational-physics "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory in United States
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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering
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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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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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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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Requisition Id 15328 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
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Requisition Id 15329 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
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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