330 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "U.S" "St" positions at Oak Ridge National Laboratory
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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and
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of the candidates’ research. Questions related to this position: Contact Dr. Juan M Restrepo (restrepojm@ornl.gov). Please reference DAML Staff. About ORNL: As a U.S. Department of Energy (DOE) Office of Science
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testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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characteristics, electrical safety, fire safety, signal integrity, radiation resistance, standardization, availability etc.) Writing and executing the cable management plan for the STS Project, including specifying
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require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department
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Contractor (CM/GC) for the Second Target Station (STS)—a major Department of Energy project valued at approximately $2 billion. This role is part of the Conventional Facilities (CF) STS Project team. The STS
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Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in physics, chemistry, biochemistry or a related field completed within the last five years
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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report on relevant project elements. Actively collaborate with the domain experts from U.S. government laboratories and academia involved in similar efforts. Significantly contribute to R&D, design, and