413 data-"https:"-"https:"-"https:"-"https:"-"UNIV"-"UNIV" PhD positions in United Kingdom
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Doctoral Training Grant Funding Information This funding model includes a 48-month funded PhD Studentship, set in-line with UK Research & Innovation values. For 2026/7, this will be £21,805 per year
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) 2:1. English Language requirement (MED/SCI equivalent: IELTS 6.5 overall, 6 in each category). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is awarded
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be used as an alternative. This project will evaluate several ideas to make these materials sustainably and generate data to confirm the processes have the potential to be greener than the current
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(Honours) 2:1. English Language requirement (MED/SCI equivalent: IELTS 6.5 overall, 6 in each category). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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The minimum entry requirement is 2:1 (any degree with a substantial biological sciences component). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is fully funded
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reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
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formed during late-stage deglaciation and subsequent marine transgression. These data will provide critical constraints for palaeoclimatic reconstructions and help quantify the magnitude and style
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geophysical and planetary models. IBM faces several such challenges in practice, many of which are currently approached using Foundation-Model (FM) surrogates. However, certain inverse problems arise in data