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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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of cutting-edge AI4EO technologies — spanning application-specific AI models, generative models, foundation models, and autonomous AI agents — with applications ranging from ground-based analytics to onboard
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-informed neural networks (PINNs) for integrating mechanistic constraints into ML frameworks, and creating LLM-based agents to assist with mechanistic model construction and knowledge curation. Track B
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Posting Details Posting Details Job Title Extension Agent for Agriculture and Natural Resources - Estill County Requisition Number RE51877 Working Title Department Name 81C01: KCES Region Central
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Posting Details Posting Details Job Title Extension Agent for 4-H Youth Development - Breathitt County Requisition Number RE51843 Working Title Department Name 81E05: KCES Region East Area 05 Work
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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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-Machine Interaction Software Development AI Agents Physics-informed Machine Learning Diffusion Models Synthetic Data Digital Twins Application Domains We also value experience applying AI in fields such as
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based on training and experience. This position will perform research on toxicological evaluation of aerosolized environmental agents to understand cellular interactions and exposure risk. This position
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Teaching Specialist-III (RTS-III) position is immediately available to conduct research in the area of mycobacterial host-pathogen interactions and COVID-19 pathogenesis studies using animal models under