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. Experience translating R&D activities to analytical protocols. Familiarity with statistical analysis, uncertainty terms and quality objectives. Expertise in knowledge, use, and troubleshooting of high-purity
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Requisition Id 15005 Overview: As a Grid Sensors R&D Engineer, you will contribute to the development, testing, and deployment of sensing technologies for future smart grids. The increasing
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embedded controllers. Experience in evaluating converter topologies, developing control algorithms, and writing controller code is expected. Major Duties/Responsibilities: Conduct R&D projects and help
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Requisition Id 14940 Overview: We are currently seeking qualified applicants for Sr. R&D Staff for Energy and Control Systems Security in the Cyber Resilience and Intelligence Division. The Sr. R
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Requisition Id 15000 Overview: We are seeking an Associate R&D Staff member who will focus on algorithmic tools for process monitoring, diagnosis, and control. This position resides in the Sensors
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Requisition Id 14999 Overview: We are seeking a research professional to help develop world-class capabilities related to manufacturing science and technology associated with the Oak Ridge National Laboratory (ORNL) and Department of Energy (DOE) mission. Selection will be based on...
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Requisition Id 14602 Overview: Oak Ridge National Laboratory (ORNL) is currently seeking applications for the role of a Chemist / R&D Associate Staff Member to contribute to our research programs
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Requisition Id 14068 Overview: We are seeking a Superconducting Magnet R&D Associate who will focus on developing and leading superconducting magnet testing and development as it pertains to fusion
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instrumentation operations and troubleshooting beyond the Ph.D. Preferred Qualifications: Experience managing research projects. Experience writing successful R&D proposals. Experience working in ISO17025
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Experience with code development and/or familiarity with various computer languages including C, C++, Python, Julia and/or R Familiarity with TensorFlow, OpenCV and other machine learning libraries