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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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instructions and perform repetitive manual work Ability to use cleansers and other agents to clean floors and furniture Ability to use housekeeping cleaning supplies and equipment Ability to work independently
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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eligible employees. The specific benefits vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive
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cloud hosted AI platforms providing various emerging capabilities to all university members, such as AI chat bots, AI agents, etc. This includes configuring access policies, monitoring resources
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adaptability of robotic systems. In particular, the research will investigate distributed and/or game-theoretic control frameworks for multi-robot systems, integrating optimization-based planning with learning
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integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants
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expected to actively incorporate data-driven research and development approaches centered on process informatics, and to promote pioneering materials development technologies utilizing AI agents. In addition
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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-9820. Department: CEA * Staff Chair * Searcy County Department's Website: https://www.uaex.uada.edu/ Summary of Job Duties: The County Extension Agent - 4-H/Family & Consumer Science conducts practical