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We are seeking a highly motivated Research Assistant to join the AIRWISE project, an interdisciplinary research initiative focused on improving urban air quality and wellbeing through smart sensing
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Application deadline: All year round Research theme: Robotics, Smart Manufacturing How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is funded by the Department
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adducts display subsequent reactivity that can be activated on-demand to introduce smart and responsive behaviour, including (bio)degradation and closed-loop recyclability. Your PhD project will fit to one
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include the - to be launched - Smart Data Research UK Social Media Data Access taskforce, a collaboration between Cambridge, Sheffield and York Universities to improve access to social media data
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distribution. This process often takes place in large scale driers where the material is heated and broken up mechanically with mixing blades. However, under certain conditions the process can break down as the
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the next generation of robots and its sensing solutions to perform tasks in challenging working environments. This project is related to the development of smart mechanisms and sensing to support the
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Learning. (If you are more interested in conducting attacks rather than defences, refer to https://ieeexplore.ieee.org/document/10274102 ) 4. Federated Learning for Smart Home applications. (Reference
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Technology at the University of Nottingham. This project is in relation to the technical needs of Rolls-Royce to develop smart and robotic solutions to enable in-situ/on-wing repair and maintenance of gas
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forms part of GlycoWeb’s broader mission. Project The PhD project will focus on the organisation of highly sulphated domains within the heparan sulphate (HS) GAG family. These sulphated domains typically
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sulphated domains within the heparan sulphate (HS) GAG family. These sulphated domains typically bind to protein ligands via sulphated residues that interact with positively charged regions within the protein