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that the project is guided by complementary perspectives in meteorology and engineering. The project benefits from access and training at the CFCM laboratory at Exeter, where methods and tools for validation will be
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
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detection. The successful candidate will engineer selective surface chemistries, advance flow-through detection methods, and apply the sensor to mechanistic studies of PFAS interactions with proteins and
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these into game engines to visualize and provoke alternative, sustainable working environments that make space for nature. The student will consider how digital-twinning (virtual replication) and gamification
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of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent