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to accelerate the development of net-zero hydrogen combustors. This project will use state of the art CFD techniques, offering potential benefits to industry and will contribute to the progress of science in
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a new generation of artificial muscles. This work will leverage the expertise of the Bristol SoftLab (www.bristol.ac.uk/softlab ) and the supervisory team in fundamental and applied transduction
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based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with an applied mathematics background who have an
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datasets are advantageous. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. Successful international candidates will be required
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The increasing realism of AI-generated videos has created a rapid uptick in their use in online scams. Martin Lewis, Zoe Ball, and Naga Munchetty have all recently “featured” in deepfake videos
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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of the project is open. Although eco-ableism is a particularly recent term, its use sharpens focus on what language such as ‘natural’, ‘right’, ‘good’, ‘accessible’, and ‘advocacy’ looks like in activism, policy
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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? This MRC-funded PhD project will use an integrative multi-omics framework to explore the molecular landscape of cystic kidney disease to reveal unknown disease mechanisms and identify new therapeutic avenues
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address Dr Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed the way