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generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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* Staff Chair * Pike County Department's Website: https://www.uaex.uada.edu/ Summary of Job Duties: The Administrative Specialist III is responsible for coordinating office activities, researching and
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: The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data
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to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
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. Position Summary We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle, infusing scientific automation with foundation models, multi-agent systems, and robotics to make scientific discovery intelligent
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property of the system as a whole. The student investigates how such multi-agent systems can be designed so that their behaviour remains trustworthy in a setting where mistakes carry financial and regulatory
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include but are not limited to: AI-driven design workflows; machine learning and generative AI models; AI-based performance evaluation and simulation; agentic and multi-agent AI systems; human-AI
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-agent systems b. Mapping and Scene Representations - Dynamic Scene Graphs modelling uncertainty - Unified situational awareness for multi-robot systems in large and degraded environments Qualifications
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. Development of mathematical models of the desired collective behaviour and comparison with the behaviour observed in the developed multi-agent and swarm robotics systems. Where to apply Website https