236 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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documentation and configuration-control projects for critical leased-facility electrical and mechanical systems at Oak Ridge National Laboratory's (ORNL) Computational Facilities Complex. Working within group and
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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/Responsibilities: Support the design, installation and maintenance of electrical, mechanical and HVAC installations. Facility Engineers must have and maintain an in-depth understanding of the technical aspects
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, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
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, electrical engineering, robotics, or a related field completed within the last five years. Background in composite material preparation, particularly in fiber reinforced (Glass fiber, silicon carbide fiber
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal
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, JavaScript, FORTRAN, C, and C++ Machine learning libraries such as Pytorch, TensorFlow, Scikit-Learn, and OpenCV 3D game development software such as Unity including VR/AR packages Commitment to stay current
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degree or higher in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering discipline. Minimum of 5 years of experience developing industrial monitoring and