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Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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Storm sequences such as ‘Dudley’, ‘Eunice’ and ‘Franklin’ inflict flooding and extreme winds upon the UK and Northwest Europe resulting in losses of billions of GBP and multi-sector impacts (e.g
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This PhD offers an exciting opportunity to tackle one of Europe’s most urgent biodiversity challenges – amphibian declines driven by interacting pressures from agriculture, climate change and habitat fragmentation. Working at the forefront of ecological modelling and movement ecology, you will...
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Description The Cluster of Excellence “Quantum Universe” performs research to understand mass and gravity at the interface between quantum physics and cosmology. The research team includes leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of...
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This PhD studentship aims to transform how exercise rehabilitation is delivered for working-age adults living with multiple long-term conditions (MLTCs). Partnering with Chiron AI, an NHS-compliant
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-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
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and successful candidates will receive competitive payment based on the primary location of their research project. We seek to recruit multiple PhD students in 2026 to a range of inter‐institutional