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to field sites made possible by a multi-year project supported by the IPEV. The results are likely to have fundamental and applied implications and a strong impact. Where to apply Website https
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models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security (including biometrics or trustworthy identity technologies), natural
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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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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, 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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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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Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions
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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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disseminate high-quality peer-reviewed outputs in leading conferences and journals, such as CORE A* venues and top-tier international publications. Expertise in reinforcement learning, multi-agent systems, and