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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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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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, and improve teaching methods and cyber content for K-12 curricula. The standards-based content will reinforce cybersecurity concepts through hands-on exercises. Our goal for the AGENT K-12 Instructor
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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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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Job Title County Extension Agent - Agriculture and Natural Resources - Crockett County Agency Texas A&M Agrilife Extension Service Department County Program D06 Proposed Minimum Salary Commensurate
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expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
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: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No set minimum requirements. Required License/Registration/Certification Driver’s License required Physical Requirements
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants. Document AI system designs, experiments, code, and processes