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Qualifications: A Ph.D. or Masters in Computer Science, Applied Math, Electrical Engineering, or a related field. At least 6 years (for Ph.D.) or 12 years (for M.S.) of research and development experience in
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challenges facing the nation. The National Security Science Directorate, NSSD, Manufacturing Program Office leads a large portfolio of applied research and development programs centered around additive
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electrical engineer. This group is responsible for the NNFD facility’s configuration management program, providing technical support to operations and maintenance, and performing systems analysis
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in
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manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers
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numerical models to co-optimize affordability and performance in building envelope components and systems. Perform simulations and laboratory and field experiments to evaluate heat transfer and mass transport
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sampling methods. Experience working with personal computer software including Microsoft Word, Outlook, Excel, Access, SharePoint and PowerPoint. Experience working in a changing environment that requires
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, multiscale methods, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies
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tasks, as needed. Provide Computer Aided Drafting & Design (CADD) data to Geographic Information System (GIS) staff to ensure CADD and GIS data remain in sync. Deliver ORNL’s mission by aligning behaviors