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home tuition fees only and a tax-free stipend. Applications are only open to students who qualify for UK home tuition fees. Supervisors: Prof Tricia McKeever (Professor of Epidemiology and Medical
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numerous accolades, including three Oscars, twelve Grammys, six Emmys, and twelve BAFTAs. Supervisor: Prof Enzo De Sena Entry requirements Open to any UK or international candidates. Starting in October 2025
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science or engineering related discipline. Experience with experimental campaigns would also be desirable. To apply please contact the supervisor: Dr Hannah Mullings, Prof Tim Stallard and Dr Samuel
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document stating the title of the project that you wish to apply for and the name of the relevant supervisor. Applicants are invited to contact Prof. Jeevaratnam (k.jeevaratnam@surrey.ac.uk ) to discuss the
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in the development of globally inclusive
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, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours
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, the supervision team have obtained data access to indoor environment sensor data at national scale from a leading industrial collaborator. To pair with this big dataset, outdoor environment data at MetOffice can be
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et al (2015). A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem. European Journal of Operational Research.
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persists, even for the most powerful sensors operating in this way. A drastic departure from this sensing architecture is “multistatic” radar – enacted by a coherent network of spatially distributed sensors