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The Extension Agent for Family and Consumer Sciences will: develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families
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, Kentucky. The Extension Agent for Family and Consumer Sciences will: develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living
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The Extension Agent for Family and Consumer Sciences will develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families & individuals
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. Experience developing and fine-tuning Large Language Models (LLMs) and transformer-based architectures. Practicalexperience building AI agents, including agentic workflows, autonomous decision-making pipelines
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. Basic knowledge experience in state-of-the-art Generative AI application development, LLM model tuning, agentic AI, and model context protocol (MCP). Preferred Qualifications Interpersonal skills in
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
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area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
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. Its educational system is based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. With an innovative approach, UM6P