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, retrieval-augmented generation systems, or other AI-enabled tools that improve access to structured or unstructured data. Experience with machine learning, artificial intelligence, and/or natural
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, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
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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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worldwide challenges. Our research and development capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning
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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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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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Requisition Id 16805 Overview: We are seeking a Computer Scientist or Engineer with a focus on Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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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