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proving, funded by the Advanced Research + Invention Agency (ARIA): https://agentic-sel4.github.io/ The project, joint with Andrei Popescu at the University of Sheffield and Toby Murray at the University
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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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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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay
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. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
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farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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analysis of novel model-based behavioural, and neuroimaging (fMRI/MEG) experiments in healthy people to examine the brain mechanisms of motivation and apathy. In addition, the post holder may also be