238 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions at Oak Ridge National Laboratory in United States
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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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Requisition Id 15631 Overview: Oak Ridge National Laboratory (ORNL) is seeking data management leader for our world class earth and environmental data centers in the Environmental Sciences Division
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, mentorship of junior staff, and the ability to influence program direction through data-driven engineering judgment and recognized subject-matter expertise. Key Responsibilities: Independently lead and perform
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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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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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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, supported by: Multiscale modeling (material (molecular) → process → manufacturing (scale up)) Data-informed experimentation Selective use of AI/ML and big-data techniques where they add real value
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configuration control. This position resides in the Data and Communications Services Group (DCS) in the Fabrication Instrumentation and Inspection Division (FIID), and Facilities and Operations Directorate (F&O
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through multidisciplinary research, data analytics, modeling, engineering design, decision support, and visualization. The group develops innovative tools and technologies to enhance the efficiency