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thermophysical tests, and managing radioactive materials inventory. The LAMDA facility is equipped with a comprehensive suite of characterization tools for the post-irradiation examination of metallic and ceramic
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(or ability to obtain one) preferred. Preferred Experience Familiarity with AI security, adversarial machine learning, or cyber-physical systems. Experience working with or within federal agencies such as DoD
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, collaboration, inclusion and continuous learning. Stakeholder Engagement & Partnerships: Serve as the external interface for the center: liaise with sponsors (DOE, other federal agencies, industry, academia
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optical systems, thermal imaging, pyrometry, spectroscopy, high speed imaging or acoustic sensing. Familiarity with data analytics, machine learning, or signal processing. Knowledge of metal additive
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be expected to be willing to learn new skills and train others. The SNS and HFIR facilities are in operation 24 hours per day and 7 days a week year-round. You may be occasionally required to support
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collaborative and open 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 postdoctoral
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic
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. Works with the senior operators, center manager and the system admins to learn the Data Center Infrastructure Management (DCIM) system. Under guidance of a senior operator, perform an annual audit
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and