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closely with HR, IT, and cross-functional stakeholders to optimize system functionality, improve data accuracy, and support ORNL’s evolving Workforce Technology strategy. Major Duties/Responsibilities
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of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: Ph.D. in mathematics, engineering, data/computational science
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engineers, leveraging cutting-edge resources; most notably the Frontier supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research
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such as additive manufacturing, quantum material design, scientific data reconstruction, for material discovery, inverse methods, complex optimization, population and evolutionary dynamics, cyber security
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on Accelerating Fusion Technology and as an ORNL UT-ORII staff fellow, successful applicants will be part of a team of Research Faculty and ORNL staff to collaborate in the area of Fusion Materials. In this role
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algebra, machine learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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components (PFCs) in toroidal confinement experiments in pursuit of 1) Determining the overall power balance in each facility, 2) Develop and test new, optimized PFC designs, and 3) Developing operating
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learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
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support enrichment technology programs. This position requires strong working knowledge of warehousing processes, configuration management principles, quality assurance, and ERP (Enterprise Resource