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based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of proposed solutions through empirical studies in representative decision support and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
the credible use of artificial intelligence, especially generative AI and large language models (LLMs), to accelerate climate mitigation while safeguarding integrity in climate commitments. This Research
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modelling, ideally with the use of innovative computational methods (e.g. agent-based and predictive modelling, bioinformatics). Relevance of research to human evolution is required. The position has a
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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
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develop a framework based on collaborative AI concept, e.g., Agentic AI or other collaborative Large Language Models (LLMs), that synthesizes actionable intelligence from distributed, heterogeneous data
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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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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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-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed