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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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environment where you can collaborate with professionals from science, technology, computing, engineering, national security, and various research disciplines. Based within the Human Resources Directorate’s
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Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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Filterscope diagnostics, the Exhaust Gas Analysis System and the Continuous Pellet Fueling System (CPFS). Collaboration with a broad and diverse ORNL and multi-institutional team, including experimental and
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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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. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Contracting professional certifications desired – Certified
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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
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. Work collaboratively with engineering, IT, R&D and Operations teams to meet data-driven needs. Document processes and develop tools or scripts as needed to support data integrity and performance. Ensure
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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