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spans animal evolutionary ecology, molecular ecology, and modelling of complex systems, and obtain interdisciplinary training in state-of-the-art approaches and techniques, which are highly south-after by
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modelled using UK-based case studies, selected from a shortlist in Isle of Portland, S Wales, SW England, and the Peak District. The work will be supported by Deep Digital Cornwall at Camborne School
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of their impacts and how to quantify them. There have been attempts to estimate impacts based on empirical approaches (e.g. Bradshaw et al. 2022), while dynamic process-based models are also known
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al., pre-print). Although their direct sea level contribution is small, they can indicate which trajectory we are on. By modelling these regions under contrasting scenarios and searching for tipping
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hierarchical models and existing minimum inhibition concentration data (the lowest concentration of an antimicrobial at which microbial growth is inhibited) to refine suggested regulatory targets; Complementary
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spreads in natural waters. Training will cover microbial genomics, evolution assays, GIS, and advanced statistics, alongside transferable skills in interdisciplinary collaboration and science communication
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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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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