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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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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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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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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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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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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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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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
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support research staff within ADADS and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including the characterization of nuclear material