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Field
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for human-centered intelligent realities (which includes VR, AR or MR, commonly called extended reality or XR), to lead the way for future immersive, user-aware, and intelligent interactive digital
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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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invites applications from candidates with a robust foundation in data science, modelling, and/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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requires IMP solubilisation from bilayers using non-physiological membrane mimetics such as detergents, polymer nanodiscs. To perform IMP oligomerization and protein interactions in physiologically relevant
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ecological niches in which early humans evolved language. You will be directly responsible for the swarm robotics side by designing and executing an interactive, foraging-navigation game, both simulated and in
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to human and environmental interactions across various sectors such as healthcare, education, and urban planning. The primary aim of this project is to develop Multi-Intelligence Agents (MIAs) that combine
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that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent
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Large Language Models (LLMs) are reshaping how we interact with language technologies, yet many questions remain about what these models actually “know” about language. The University of Exeter is