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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
tailored to scientific modeling workflows. Rather than deploying AI as a black-box predictor, we propose a physics-aware AI agent architecture that interfaces directly with ISSM’s modular components
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atmospheric plasma to treat fibrotic diseases. The agent will join the emerging Innovative Cancer Treatment team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8175-LAUFOU-002/Default.aspx
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for cooperative autonomous driving; Design large vision-language models for autonomous driving; Design generative diffusion & 3D/4D scene synthesis models to enable multiple agents to jointly reconstruct a scene
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research
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Posting Details Posting Details Job Title Extension Agent for 4-H Youth Development – Lewis County Requisition Number RE53225 Working Title Department Name 81E08: KCES Region East Area 08 Work
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Posting Details Posting Details Job Title Extension Agent for 4-H Youth Development - Boyle Co. Requisition Number RE53276 Working Title Department Name 81C03: KCES Region Central Area 03 Work
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of the circulation of infectious agents in populations of marine vertebrates in the Southern Territories. The main models considered are seabirds (albatrosses, penguins, petrels, wrasses) and marine mammals (elephant
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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; - Design, development, and integration of Agentic RAG architectures based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of the proposed solutions
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. Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. In CoRR, abs/2311.16452, 2023. [33] S. Lamsiyah, A. El Mahdaouy. A Reinforcement Learning-based Method