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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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the upper (water-repellent) and lower (fully wettable) leaf surfaces are crucial for self-righting. This fully funded 4-year PhD project takes a multidisciplinary approach to unravel the morphological
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Water bounces off lotus leaves but spreads and fully wets the trap rim of carnivorous pitcher plants, turning it into a deadly water slide for insects. This fully funded 4-year PhD project
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consider the multiple health and other impacts when deciding on appropriate action. This PhD studentship will conduct an assessment of the impacts of policies aimed at improving home energy efficiency