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, the student will characterize the micro-morphology and chemical composition of mature and developing pitcher plant surfaces. Surface replicas with tuneable hydrophilicity will allow the student to disentangle
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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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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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