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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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rate (£19,237 for 2024/25). Ice Binding Proteins (IBPs) help extremophiles survive in the worlds coldest environments, but are also used by microorganisms to damage hosts by promoting ice formation. We
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PhD Supervisor: Suan Hui Pu Supervisory Team: Suan Hui Pu Project description: Dehydration in humans can lead to severe health consequences if left untreated. There is an unmet need for an accurate
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Supervisory Team: Prof Middleton, Prof Altamirano PhD Supervisor: Matt Middleton Project description: Black holes grow by accreting material through a disc which is bright across the EM spectrum
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assisting future CCS power plant design optimisation. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is
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Type of award Scholarship Managing department Faculty of Humanities Value Tuition Fees Stipend Approved fares covered Please see the ‘Financial assistance' tab on the Commonwealth Scholarship
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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Type of award Scholarship Managing department School of Social Sciences Value Tuition Fees Stipend Approved fares covered Please see the ‘Financial assistance' tab on the Commonwealth
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needs. •Improved “Virtual Assistants” for the next generation of platform-operator interfaces. You will be working world-leading scholar (Prof. Gokhan Inalhan) on the topic partnered with one
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more research is required to establish the inter-dependencies between these properties with the help of high resolution images. In this research, different sets of composites material will be dynamically