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’ opportunities and agency, using qualitative and creative methods (e.g. “Theatre of the Oppressed” or others). Please note - this position includes full funding for PhD tuition fees (UK rate) for a duration of
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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will lead to natural collaboration opportunities. The primary methods used in this project will be experimental, involving fluid characterisation and high-speed imaging experiments, using Phantom high
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important questions in cancer research, have extensive experience of quantitative analyses, and be a positive contributor to our focussed team. Individuals with experience of epidemiology are especially
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of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
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A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media – i.e., the light, volume and pitch changes from
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We invite applications for a fully funded PhD studentship jointly hosted by the University of Birmingham and Diamond Light Source, the UK’s national synchrotron facility. This position is co-funded
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defects without compromising structural integrity, thus ensuring passenger safety and operational efficiency. The project aims to design and prototype a ground-based automated inspection system capable
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Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g
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Mobility allowance - £5,507 per annum Family allowance - £6,058 per annum (if applicable) Full-time: 35 hours per week Fixed-term: 3 Years The Opportunity: This PhD position on Physical Properties