270 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at Oak Ridge National Laboratory
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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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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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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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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Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector
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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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, and data science and analytics. Preferred Qualifications: Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal
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. In addition to these responsibilities, the candidate will be a contributor to R&D projects that involve electro-mechanical systems and integrated data acquisition systems. In this position
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Laboratory (ORNL). As part of our team, you will investigate the atomic and electronic structures in energy and quantum materials and correlate them with relevant properties for energy and data storage