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and interaction between devices have a significant impact. In this project you will work on and develop numerical modelling capabilities for arrays of turbines with non-homogeneous flows and wake
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the urgent need for equitable and sustainable energy access, fostering global partnerships to develop renewable energy technologies that align with the United Nations’ Sustainable Development Goals. The REACH
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the best possible evidence. This fully-funded studentship is part of the centres goal to advance research excellence, inform policy and practice and to develop future research leaders. This PhD project will
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballots using the STV method. Our first point of
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Learning as well as an ability to develop, build and test interactive systems. Funding Comment: Covers full tuition, £20,780 stipend (2025/26), plus up to £1,000 yearly for research costs.
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industrial adoption of high-order CFD technologies. As the PhD researcher on this project, you will investigate and develop the numerical and algorithmic components needed to make this hybrid high order to low
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settings, where curved elements, geometric fidelity, and element quality requirements make the problem considerably harder. The aim of this project is to develop new methodologies and software tools
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studentship is part of the centres goal to advance research excellence, inform policy and practice and to develop future research leaders. This PhD project will be centred on the use of Near Real-time suicide
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access, fostering global partnerships to develop renewable energy technologies that align with the United Nations’ Sustainable Development Goals. The REACH-PSM project complements this mission by focusing
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that adapt to both physical behaviour and geometric context. The project will develop a machine learning framework that learns the link between geometric variation, coupled physical responses, solution