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environment? If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new research professional position in AI
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and processes at scale in a HPC environment. Design and develop new creative solutions for increasing large volumes of historical and streaming data analysis on hybrid HPC and cloud computing platforms
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innovative solutions to critical challenges in energy, environment, and health. Researchers expand scientific understanding and develop new strategies to support productive, resilient ecosystems and informed
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responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies. With the aim of enhancing national energy security
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to support and evolve the computing infrastructure and software environment for the SNS Control System. The role requires independent judgment, initiative, and technical creativity, with a strong focus on
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support sample management functions within the division to enable researchers to perform experiments. This position resides in the Labs and Soft Matter Group in the Sample Environment and Labs Section
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openings as they arise. If you are eager to advance your knowledge and skills in a collaborative environment, apply today to be part of our dynamic environment! The Oak Ridge National Laboratory (ORNL
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large
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Requisition Id 16210 Annual Salary Range:$$115,000.00 -$$150,000.00 Work-Site Type: Remote ORNL offers a flexible work environment that supports both the organization and the employee. In addition
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configuration of equipment affecting safety critical systems. Ensure and monitor compliance with environment, safety, health, (ESH) and quality assurance (QA) program requirements Promptly identify and