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to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. We are seeking a Human-Centered Design Postdoctoral Research Associate who will focus
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). In this role, you will work as part of an interdisciplinary team from Oak Ridge National Laboratory and partner Universities to develop algorithms for human-in-the-loop autonomous experimental
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the Geospatial Science and Human Security Division (GSHSD) at ORNL. The group performs artificial intelligence, computer vision, and federated learning research initiatives, with emphasis on large scale geospatial
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approaches to establish a predictive understanding of regional climate variability and change and use that information in developing decision-support systems and climate toolkits for human systems such as the
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complementary techniques at ORNL, to understand the structure-property relationship of energy materials critical for carbon neutral technologies. This work will be conducted with close interaction and
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), Earth systems science (land, water, ecosystems, and biodiversity), and human dynamics, as well as various other research domains ranging from advanced materials and nuclear science to high-performance
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contaminants worldwide but the relationship between environmental mercury concentrations, methylmercury production, and mercury bioaccumulation is poorly understood. Because methylmercury bioaccumulation in fish
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Postdoctoral Research Associate who will support the GeoAI Research Group within the Geospatial Science and Human Security Division at Oak Ridge National Laboratory (ORNL) to leverage multi-modality geospatial
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assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies. Major Duties/Responsibilities: Conduct cutting-edge
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integrating human-in-the-loop reinforcement learning approaches. Responsible AI: Exploration of privacy-preserving AI techniques, enhancing AI safety, and addressing vulnerabilities and defenses in Large