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Scholarship covers the difference between the International and the Home tuition fee for the duration of the PhD/Professional Doctorate programme. Successful candidates will be charged fees aligned to the UK
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are part of a larger project that seeks to integrate experimental and theoretical approaches to build sustainable synthetic platforms aligned with renewable energy technologies. The successful applicants
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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interaction, with a focus on the qualities of the movement and interactions, collaborative navigation of shared space, aligning human robot body movement and shared weight and touch in collaborative movement
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for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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mortality rate. This project will involve a comprehensive approach combining bacterial whole genome sequencing, genomics based bio-informatics, chemical analyses of bacterial compounds and immunological
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that is best aligned with their research subject matter: Canadian Institutes of Health Research (CIHR) Natural Sciences and Engineering Research Council (NSERC) Social Sciences and Humanities Research
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory