339 computer-security-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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this challenge by: • Applying innovative methods for visualising actin filament architecture using advanced imaging modalities (e.g., super-resolution microscopy) • Developing computational approaches
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from intracranial haemorrhage (ICH) — a life-threatening condition often caused by trauma. The project forms part of a Royal Academy of Engineering Research Fellowship programme led by Dr Xiancheng Yu
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Next Generation Photonic Integrated Circuit Chips for Quantum Technology (C3.5-MPS-Faruque)
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assessment of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will be required to deliver teaching, learning and assessment and maintain a portfolio of employers and learners to high
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high-dimensional datasets that hold promise for earlier and more accurate diagnosis. These are often analysed with modern computational approaches such as machine learning, which can highlight hidden
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that underpin segregation and performance degradation. The project will be a combination of analytical theory and computational modelling. The successful applicant will be embedded in both the theory group
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Engineered for Excellence: Developing Advanced Traction and Braking Particles to Enhance Rail Sustainability and Safety (C4-MAC-Tomlinson)
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AI4Ed: Multi-Agent Systems for Collaborative Human–AI Writing and Feedback (S3.5-COM-Yuan) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zheng Yuan, Dr
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Speech Technology for Longitudinal Monitoring of Ataxia Progression (C3.5-COM-Ma) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Ning Ma, Prof Marios
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Bridging Causality and Forecasting in Space Weather: A Transparent Complex Systems Modelling and Interpretable Machine Learning Framework