169 programming-"Multiple"-"U"-"Prof"-"O.P" positions at Oak Ridge National Laboratory
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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neural networks, including CNNs, GANs, transformers, and GNNs for urban science applications. Expertise in programming languages for software development and data management with proficiency in Python, SQL
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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to accomplish multiple tasks within deadlines, and adapt to ever changing needs. • Serve as a mentor to peer or junior network administrators. Special Requirements: Visa sponsorship is not available
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on-premises and in the cloud. Work with researchers and developers to configure complex pipelines to streamline multiple code repositories for automated deployments/upgrades, and work with others across
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multiple research personnel and Facility support staff as a team player. Ability to work occasional off-shift and weekends as work coverage demands. Excellent written and oral communication skills. Motivated
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Requisition Id 15030 Overview: We are seeking a Plasma Material Interactions (PMI) Science expert to lead the development of a science program focused on plasma-materials interactions for fusion
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reactor safeguards. Additionally, we develop innovative technologies and systems tailored for inspector use and have played a vital role in the deployment of multiple technologies utilized by the IAEA
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, procedures, and standards under 10 CFR 851, the DOE Worker Safety and Health Program. Operational Efficiency and Safety Culture- Continually seek ways to increase operational efficiencies, improve safety
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly