126 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at Oak Ridge National Laboratory
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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. To conduct this work, the successful candidate will use the world's first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric grid analytics, and
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diverse teams. Must be able to learn at a high level the technical area that is supported. Project management skills and experience, plus significant knowledge of project planning tools with evidence of
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to learn and perform various tasks, adapting to new assignments. Ability to manage multiple tasks in a fast-paced and dynamic environment. Experience dealing with various personalities, backgrounds, and
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mentor junior staff on chemical processes and provide guidance on historical processes, prior trials, and lessons learned. Support the development of reports, presentations, and operator aids or guidelines
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. Proficiency in administrative software, including Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and Adobe Acrobat. Ability to learn ORNL business systems. Strong interpersonal and communication
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to the implementation and perpetuation of values and ethics. Advise and instruct AR personnel on relevant receipt issues as needed and in the absence of the AR supervisor. Deliver ORNL’s mission by aligning behaviors
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photonic quantum sensing and computing. Experience with control electronics, data acquisition systems, machine learning and AI for control and optimization of experimental apparatus. Experience with vacuum
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this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security. The successful candidate