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Project advert Video-based technologies can capture players’ match kinematic data. Recently, FIFA have implemented a video-based skeletal tracking system into their referee decision support
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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working with adult participants across a wide age range and develop expertise in advanced biomechanical data collection and analysis techniques (e.g. optical motion capture, inertial measurement
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students Subject areas Computer sciences Physical & Environmental Sciences Project description The accelerating impacts of climate change—particularly those related to water, such as flooding, coastal
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training. The goal is to build realistic, culturally sensitive digital avatars that simulate dementia‐care scenarios in care homes. Through co-design with carers, care-home staff, families and community
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Using metagenomic sequencing to diagnose the causative agent of an infectious disease is becoming one of the most hotly pursued research topics in microbiology. This method allows sequencing to be
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breaking towards achieving silent aircraft design? Applications are invited for one funded 3.5-year PhD studentship for the project titled ”Data-driven modelling and control of turbulence-generated noise” in
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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intelligence (AI), which integrates diverse information sources including tabular, imagery, linguistic and acoustic data, has shown transformative potential in domains such as healthcare, environmental