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the broad field of data science to develop new data driven methodologies to assess and to improve the quality of components fabricated using Additive Manufacturing and Carbon Fiber Manufacturing processes
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and information that is subject to export control requirements and potentially classified information. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior
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discipline completed within the last 5 years. Experience in industry and/or buildings, specifically in energy efficiency management and projects. Proficiency in the use of Excel for engineering data reduction
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/implications the technology is appropriate (paybacks, TCO, benefits, heat maps, efficiency gains, etc.) using novel big data sources and techniques Deep dive analytics on powertrain, vehicle and infrastructure
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. This position resides in the Data NanoAnalytics (DNA) group in the Theory and Computation section, Center for Nanophase Materials Sciences, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL
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candidate will support the analysis of energy-water interactions by using both process-based modeling and data science to provide multi-disciplinary solutions to energy challenges that have impacts from local
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Requisition Id 12943 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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scattering techniques. This position resides in the Direct Geometry Group in the Spectroscopy Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). As a
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Requisition Id 12856 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver solutions
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Requisition Id 12852 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, Oak Ridge National Laboratory (ORNL) has an extraordinary 80-year history of solving