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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
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. in AI, computational science, or related fields Demonstrated leadership of large-scale R&D programs and multidisciplinary teams Internationally recognized expertise in one or more areas: Machine
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Generative AI and Machine 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
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-body ab-initio methods for description of electronic, magnetic, and vibrational properties in a range of materials Expertise with artificial intelligence and machine learning approaches will be also
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professionalism in a demanding environment. Excellent organizational and work planning skills; able to prioritize and handle multiple tasks. Computer proficiency in Windows-based application software and web-based
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software Experience with hot cell operations and/or other remote handling operations using remote machines, cameras, long handled tools, etc. Experience with radioactive environments and radioactive
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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knowledge of different trades such as welding, sheet metal, machining, millwrights/boilermakers, and pipefitting. This position resides in the Fabrication Services Group in the Fabrication, Instrumentation
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization