273 structural-engineering "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" positions at Oak Ridge National Laboratory
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algorithms needed to model complex physical, chemical, engineered and biological systems. ORNL’s computational science research focuses on extreme scale computing and data analysis, storage, visualization
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superconducting RF structures, high-power and low-level RF, high-voltage converter modulators, DC and pulsed power systems, the Central Helium Liquifier (CHL), Cryogenic Moderator System (CMS), vacuum systems, and
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Requisition Id 15973 Overview: The Centrifuge Science (CS) Section within the Enrichment Science and Engineering Division (ESED) at Oak Ridge National Laboratory (ORNL) is seeking a Rotor Dynamics
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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Requisition Id 15886 Overview: We are seeking an R&D Associate who will lead and execute research focused on processing–structure–property relationships, advanced manufacturing scale-up, and
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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
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supplies throughout ORNL in a safe and efficient manner. Operate construction, excavation and power equipment such as high lifts, dozers, bob-cats, back hoes, road grader, etc. Comprehend crane load charts
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Qualifications A bachelor’s degree in project or construction management, business, engineering or equivalent combination of education, experience, and specialized training will be considered. Ten years
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the Quantum Heterostructures Group in the Foundational & Quantum Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As
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fuels and structural materials application space, working collaboratively with other scientists. Apply machine learning and artificial intelligence tools to innovate in particle fuels characterization