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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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, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people