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Requisition Id 17231 Overview: We are seeking a Postdoctoral Research Associate who will focus on the development, application, and optimization of an active learning workflow for dataset
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, machine learning, and statistical modeling methods for multimodal manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and
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solutions to compelling problems in energy and security. The L earning Systems Group at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher specializing in federated learning and
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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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National Laboratory (ORNL). The selected candidate will work in a highly collaborative environment, leveraging state-of-the-art neutron and X-ray characterization facilities to develop a mechanistic
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discovery. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially
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Postdoctoral Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI
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-tuning, and integrating human-in-the-loop reinforcement learning approaches. Responsible AI : Exploration of privacy-preserving AI techniques, enhancing AI safety, and addressing vulnerabilities and
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selected candidate will work in a highly collaborative environment including teams in Neutron Sciences Directorate and Physical Sciences Director a te , leveraging state-of-the-art neutron
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presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address