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, biochemical and genetic underpinnings of leaf wettability, thereby paving the way for novel approaches to sustainable, pesticide-free pest control in agriculture. The student will join an interdisciplinary
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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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universal principals that govern leaf wettability, thereby paving the way for novel approaches to sustainable pest control in agriculture. Pitcher plants have independently evolved in three orders of seed
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policy. Previous experience of environmental or public health economics, epidemiology or work on energy efficiency would be an advantage, but is not essential. Proficiency in statistical packages such as R