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Applications are invited for a PhD studentship in the Centre for Human-Computer Interaction Design, based in the Department of Computer Science. The successful candidate will undertake PhD research
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
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acoustic monitoring methods have emerged as a novel toolkit for monitoring tropical forest biodiversity. This project will use passive acoustic monitoring to assess the biodiversity value of human modified
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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the design of future aircraft propulsion systems. This fully funded PhD, based at Cranfield University and in partnership with Rolls-Royce, focuses on improving aerodynamic design methods for coupled intake
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estimated to have hearing loss, including over half of the population aged 55 or more. Hearing aids are the most common intervention for hearing loss, however, one in five people who should wear hearing aids
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Magalhaes to support a research project aiming to develop machine learning methods for drug repurposing in ageing and frailty disease. We aim to employ a machine learning approach to predict, among existing