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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
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discharges. Complicating the understanding of these systems is the fact that predicting their evolution requires an understanding of multi-component transport phenomena, multi-phase evolution dynamics, solid
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one of the UK’s leading tribology research centres, home to over 50 PhD students working in a highly collaborative, dynamic environment. You’ll benefit from working alongside top academics and fellow
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treatment, material and energy flow analysis, integrated data modelling, systems dynamics modelling, circular economy, sustainability assessment performance, decision-support tool design Month when Interviews
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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Overview: Air quality is a major public health issue worldwide. Two origins are identified for pollutant particles that emanate from passenger cars: those coming from the exhaust (linked
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This is an exciting opportunity to participate in an interdisciplinary research project supported by an industrial collaborator. Automotive designers strive to offer drivers and passengers luxurious
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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with inflation). Research training and support grant (RTSG) of £3,000 per year. Funding is available for 4 years. Closes: Open until position filled The overarching aim of this project is to find