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, providing practical tools and design guidance for fuel systems of the future. You'll help de-risk the development of new propulsion architectures and reduce reliance on physical testing, aligning with
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summary of research interests / ideas for a prospective doctoral project proposal With a plan for the completion of the doctorate With a confirmation of enrolment in the doctoral programme/having passed
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, into simulation models used for health systems management. The research will provide practical and methodological contributions. The framework will offer healthcare decision-makers better tools for designing
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candidate will join the energetic human-centred computing group led by Professor Moi Hoon Yap. Project aims and objectives The project aims to design innovative deep multimodal learning methods to understand
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, and how sweat glands respond to different lifestyles, in particular sedentary. Objective of this project, in collaboration with Unilever, is to design, build and validate a wearable, flexible biosensor
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Rolls-Royce, this project will use both experimental and computational aspects to explore the aerodynamic design space for coupled intake/fan configurations that are required to deliver more efficient
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sweat distribution across impairment groups which may inform future clothing design for improved thermoregulation. Additionally, it will explore cooling interventions, using computational modelling
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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decarbonisation design group , a community of doctoral researchers investigating ecosystem solutions to decarbonise the digital world. We welcome applicants from diverse backgrounds including business and
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*Home fee status applicants from a Law background are invited to apply* The Centre for Doctoral Training in Safe AI Systems (SAINTS CDT) is the UK’s first multidisciplinary PhD programme focused