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biomimetic networks of reconstituted microtubules and motor proteins. These active networks will be designed to mimic the dynamic behaviour of the cellular cytoskeleton and provide a unique model system to
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biomimetic networks of reconstituted microtubules and motor proteins. These active networks will be designed to mimic the dynamic behaviour of the cellular cytoskeleton and provide a unique model system to
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Communities) project, through the delivery of research activities specifically on coastal community resilience, sustainability and marine governance using arts based and social science research methods. A key
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, including community led energy generation, local heat networks, and the retrofit of domestic and community properties to improve social outcomes, health, and employment, working closely in partnership with
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to the UK’s net zero target. RESPECT will achieve this by collating data through novel interdisciplinary collection, modelling and engagement methods. These data will establish the capacity of land and land
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understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing. Hands-on experience in deploying, configuring, testing and optimizing 5G systems is preferred
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Communities) project, through the delivery of research activities specifically on coastal community resilience, sustainability and marine governance using arts based and social science research methods. A key
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
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The role The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We have a bold vision of what we want to achieve - shaping ourselves into one