203 data "https:" "https:" "https:" "https:" "Universidade do Minho" uni jobs at Oak Ridge National Laboratory
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Requisition Id 15882 Overview: We are seeking a Research Staff Scientist to advance our fundamental understanding in 2D materials, thin films, and hybrid nanostructures for quantum information
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troubleshooting skills down to board level. General computer skills (e.g. using menu and software driven test equipment). Experience installing, maintaining, inspecting, diagnosing, and repairing electrical systems
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knowledge of strategic finance and financial data analysis with experience in operating facilities. Visa Sponsorship: Visa sponsorship is not available for this position. Security, Credentialing, and
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, security and data integrity across compute and storage systems Lead operating system and third-party software maintenance efforts, balancing security requirements with research uptime Design and implement
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the planning of inspections and tests, and interpretation of data collected Proposes corrective actions to improve compliance with quality specifications Performs inspections and sets quality assurance testing
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requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing
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or SolidWorks platforms to produce electrical schematics and equipment designs. Familiar with Allen‑Bradley automation hardware, National Instruments data‑acquisition platforms, or comparable industrial
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subcontractor construction submittals and Requests for Information (RFI’s) to ensure timely responses and response durations are upheld. Inspect construction work for compliance with design requirements through
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solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high
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, and data science and analytics. Preferred Qualifications: Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal