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Guildford, the project forms a collaboration between AudioLabs, Fraunhofer IIS (Erlangen, Germany) and CVSSP at the University of Surrey. It builds on work by the co-investigators into virtual acoustics
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on these materials and subsequently build up an understanding of the relationships between the material properties and the solubility and diffusion of gases/vapours. This project will investigate and develop
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utilise advances in artificial intelligence, mechanistic modelling, and uncertainty quantification to develop a suite of tools for rapid deployment of models across bioenergy industries (e.g. gasification
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. Nevertheless, their potential to other areas, such as sustainability, is underexplored. Thus, this project aims to research and develop sustainable AI foundation models for time series processing applied
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on the mechanical performance of joints subjected to harsh environmental conditions. This project allows multidisciplinary collaboration between the University of Surrey and Culham Centre for Fusion Energy/United
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into explainable models, while IRL aligns AV decisions with human values, adapting driving objectives as per situational demands. This approach uses neuro-symbolic reinforcement learning to develop interpretable AI
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signatures of host clinical outcome. Objectives: Develop/refine methods to study BTV-specific B cell responses and antibody repertoires in sheep and cattle. Characterise and quantify BTV-specific B cell
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excipients and final products. Therefore, this project aims to develop selective and sensitive TSC methodologies to address common characterisation and quantification challenges experienced with full and
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-clinical to clinical studies. The proposed project is part of an ongoing research collaboration between Dr Carina Dunlop (University of Surrey) and Prof. Gianne Derks (University of Leiden, Netherlands) with
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that separates molecules by structure and leverage these to develop innovative methods to study molecules at the micro and nanoscale. Reference metal materials will be used for fundamental studies and structural