601 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"https:" PhD positions in United Kingdom
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knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of
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to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian
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to contact potential UK-based supervisors to discuss possible project ideas. Funding Notes The studentship provides full support for a 36-month PhD programme, including: UK tuition fees (up to £5,000 per year
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interface. This PhD project aims to develop a flexible electrochemical sensing interface capable of capturing local physicochemical changes in real time. The work will explore biocompatible, deformable
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the operational life of battery-powered devices and reducing the environmental impact of large-scale deployments. Advancements in this area support the development of sustainable technologies across various
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potential. Our research focuses on Materials physics; Quantum technology; Soft & living matter; and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. The project will be
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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generic and unable to address individual needs. With recent advances in additive manufacturing, there is an opportunity to develop more effective and personalised solutions for pressure redistribution and
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust