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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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-impurity re-emission, implement it in UKESM, and evaluate it against in-situ data from MOSAiC and permanent Arctic observatories. Training will include advanced Earth system modelling, ensemble design
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to understand the drivers and dynamics of sediment transport along this highly populated and vulnerable river. Additionally, it will explore the use of prototype water quality sensors (Hydrobeans) to understand
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aquatic wildlife communities when a river is restored with large wood, to provide evidence-based guidance to policymakers and practitioners. It will answer three critical questions: How does large wood
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select for AMR. However, the role of microplastics in the persistence, selection and transmission of AMR is poorly understood. We encourage the researcher to shape the research as it progresses, but
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in relevant cellular and in vivo models. Depending on progress, it is expected that you will present your research at national and/or international major research conferences. A suitable candidate will
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Photovoltaic (PV) power is crucial for advancing global energy sustainability, as it harnesses abundant and renewable solar energy to generate clean electricity with minimal environmental impact. By
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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