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of Dr Zhong-Nan Wang at UoB. The research of the group is focused on developing high-fidelity CFD and data-driven approaches for aerodynamics and aeroacoustics. The PhD project is expected to start in
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
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Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and Technology
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opportunities to learn about the ethics of this research, implementation of the tasks, data processing, analysis and interpretation, and to present findings and disseminate results. In addition, there will be a
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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degree of oxidation. The scope of this project would be to design a methodology for capturing material property and gas transport data, gather data on these materials and subsequently build up
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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. Research Methodology: Representative samples and field structural data will be collected from a number of accessible sites across the Cornubian batholith. Discrete samples will be fully characterised
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data from saltmarsh and mangrove estuaries. Evaluate the impacts of restoration design decisions in real estuary settings. Compare multiple estuaries to assess how context influences restoration outcomes
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, leaving users vulnerable to data misuse and cyber attacks. Current AI-based security tools often act as “black boxes,” generating alerts without explanation, undermining users' trust and slowing adoption