11 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" PhD positions at Swansea University in United Kingdom
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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nationally, statistics from 2019–2024 show that only around 26% progress beyond Entry level (CEFR A1; National Centre for Learning Welsh, 2025). Increasing these progression rates is a key aim of the Welsh
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regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the resolution required for reliable prediction
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The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
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, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability. Where to apply Website https://www.swansea.ac.uk/postgraduate
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planning commensurate with career stage in their CV and through their application document. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/aerospace-engineer
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to demonstrate this untapped potential to the wider research world relevant to this topic. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/psychology-bilingu
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, realistic configurations and develop a skill set that is highly valued in both academic research and advanced engineering computation. Funding duration – 3 years Where to apply Website https
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duration: 3 years Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/fse-epsrc-phd-high… Requirements Research FieldOtherEducation LevelUndergraduate Skills/Qualifications
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refinement or a loss of fidelity in critical regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the