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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
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application solutions. Research activities include the design of efficient image preprocessing pipelines, machine learning workflows using high performance computing techniques, and conducting post-processing
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concerns, using a questioning attitude, considering hazards for every task, and never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by
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ability to learn quickly and adapt to rapid changes. Excellent interpersonal and verbal and written communication skills. Ability to apply critical thinking and analytical skills, which includes analyzing
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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, including Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and Adobe Acrobat. Ability to learn ORNL business systems. Strong interpersonal and communication skills to interact tactfully with staff
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where learning never stops. Continually seek ways to increase operational efficiencies and improve safety culture in support of the research mission and champion initiatives to do so. Deliver ORNL’s
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization