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-impact national security missions. We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and benchmarks, and disseminate results through
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modeling, surrogate models, and agent policies to guide experimental decision-making for materials discovery. Develop robust automation pipelines that orchestrate data acquisition, analysis, experimental
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Requisition Id 15623 Overview: We are seeking a Research Scientist who will support a growing portfolio of research in large vision-language models, privacy preserving federated learning techniques
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focus on designing architectures and models that effectively capture the complexities of data, provide robust confidence estimates in predictions, and generate compressed quantities of interest tailored
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to fit the proposed models to data, with a theory that explains the convergence and success of these techniques; Detailed re-analysis of the performance of the trained models to determine underlying
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Requisition Id 15512 Overview: The UT-Oak Ridge Innovation Institute (UT-ORII) is seeking a highly motivated and interdisciplinary researcher to lead advanced plant systems modeling in support of
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of AI for science, including scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design
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of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design, train
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platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale applications, geospatial science at ORNL is
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derivation, business rules, workflows, and automation within SuccessFactors and/or SAP. Strong understanding of SAP field mapping, infotypes, data models, and MDF objects. Experience leading testing cycles