333 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Oak Ridge National Laboratory in United States
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providing support to their assigned science & technology organization. ORNL is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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for combining/separating chemicals, compounds, and related products and materials using principles and technology of chemistry, physics, mathematics, engineering and related sciences Assist IPMD supervision in
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environment where you can collaborate with professionals from science, technology, computing, engineering, national security, and various research disciplines. Based within the Human Resources Directorate’s
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) characterizing pellet fueling dynamics using multiple observables, 2) measuring and predicting the dynamic and cumulative impact on long-pulse particle balance and plasma performance, and 3) developing real-time
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Visitor Center. Prioritize multiple tasks in a fast-paced environment while maintaining accuracy. Anticipate needs, adjust to changing priorities, and meet established deadlines. Maintain compliance with
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! This position resides in the Client Support & Engineering Services group of the Digital Services Infrastructure & Operations division in the Information Technology Services Directorate at Oak Ridge National
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benefit both the Lab and the private companies. As part of a team with wide-ranging expertise in fusion science and/or engineering and technology, the candidate will be responsible for leading ORNL’s
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of controlled composition and structure. The individual selected for this position will be responsible for exercising and maintaining fabrication capabilities. They will be encouraged to engage with staff within
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Qualifications: A BS degree in science, engineering, or related field with a minimum of 8 years of related experience. An equivalent combination of education and experience will be considered. Minimum 4 years in
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developing closed-loop optimization strategies for growth conditions, defect engineering, and in-situ diagnostics. Integrate simulations, theory, and experiment by developing workflows that combine atomistic