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includes an emphasis on computation modeling. 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 pressing
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts
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of scientific results in peer-reviewed journals and conferences. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong commitment to the implementation and
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, ethical Data Science Education teaching, curriculum, and scholarship. The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research
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and oral communication skills and have a strong publication record with a working knowledge of statistical analysis in SAS, R studio, or another equivalent program. Candidates with experience in soil
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college or university as recognized by the United States Department of Education and/or the Council on Higher Education Accreditation (CHEA) and experience with programming languages and the command line
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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Ensure compliance with environmental, safety, health and quality program requirements Maintain strong dedication to the implementation and perpetuation of values and ethics Deliver ORNL’s mission by
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degradation and lifetime assessment models for high temperature materials and coatings. As a postdoc, you will employ state-of-the-art technology, research equipment and computational resources to enable
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is an 18-month program that fully supports undergraduate students in becoming entry-level software engineers by graduation. In 2023, the U.S. Department of Commerce’s Economic Development