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the Environmental Risk and Energy Analysis Group. The candidate will work with a multi-disciplinary group of experts in economics, engineering, computer sciences, and physical sciences on the economics and policy
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://www.ornl.gov/facility/mdf ) and the Carbon Fiber Technology Facility (https://www.ornl.gov/facility/cftf ) – as well as signature user facilities in high performance computing, neutron sciences, and other areas
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/concerns, as appropriate. Basic Qualifications: BS degree in science, engineering, or related field with 2 - 4 years of relevant experience working within environmental regulatory programs with an emphasis
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reporting. Experience in nuclear fusion or fission technology or a closely related field is a plus. Experience with mechanical (finite element) and/or thermal/fluid (computational fluid dynamics) simulation
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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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software engineers within the Computer Science and Mathematics Division, providing an opportunity to work in a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron
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in an ongoing random drug testing program. Why Join Us: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most
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Requisition Id 13471 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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success. Basic Qualifications: A PhD in theoretical or computational chemistry or closely related field in physical chemistry or chemical physics completed within the last 5 years. Demonstrated expertise
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in mechanical engineering, civil engineering, computer science or related discipline; or MS in