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system. Design and implement an NLP/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing
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biology ● Mitochondrial and metabolic biology ● Neurobiology and glial biology ● Neuroimmune interactions ● Human genetics and functional genomics ● Single-cell and spatial omics ● CRISPR
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Environmental Science and Technology Consortium) project, supporting the operation, evaluation, and development of AIRPACT (https://airpact.wsu.edu/), the regional air quality forecast system that provides daily
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Jurassic carbon-cycle dynamics in order to disentangle the secular evolution of Jurassic carbon-climate interaction during rapid icehouse–greenhouse transitions. We propose to reconstruct pCO₂ across
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climate control in buildings, aiming for an understanding of how building systems and materials interact with architectural design and the human occupant. The A/S Zero Carbon Building Systems (ZCBS) Lab
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at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity
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to contribute to the development unique science directions, in collaboration with the Team and sponsoring organizations. Furthermore, the position requires collaborating and interacting with staff at ORNL’s
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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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to research and teaching in Biochemistry and Molecular Biology, Physiology, Neuroscience, Ecology, Environmental Science, Plant Biology, and Organismal-environment interactions. We offer bachelor’s degrees in
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the development of novel approaches for medical imaging. The central aim is to understand how acoustic perturbations interact with spin relaxation in the presence of small-scale magnetic-field inhomogeneities. We