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suppression, and endocrine disruption. Their detection is particularly challenging because adverse effects occur at ultra-low concentrations, often in the nanomolar to attomolar range. New, ultrasensitive tools
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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of benefit to a wide range of scientific communities, because the interactions of clouds with the mean climate is consistently the most difficult aspect of climate change to estimate correctly. To this end we
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investment, helping to create an energetic and vibrant academic community for our students and staff. To find out more about the Department of Engineering please click on the following link https
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climate models, including the UK Earth System Model (UKESM), resulting in critical gaps in both seasonal forecasts and long-term climate projections. This PhD will develop a new parameterisation of snow
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to other indicators of unrest, such as seismicity. This PhD project will drive innovation in modelling magma-mush processes and the generated surface deformation and seismicity during unrest episodes
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future climate change affect these hazards? The PhD researcher will have scope to determine: Selection of study rivers/locations; hazard focus (river migration by bank erosion or avulsion); methodological
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’ traits in ecological communities be used to quantify ecosystem integrity? c) What are the practical uses of traits in conservation, including assessment of ecosystems and increasing their resilience
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists of the Great Western Four alliance of the University of Bath, University of Bristol, Cardiff University and...
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the student to guide the research, but preliminary ideas include: Exploring whether suggested discharge limits derived from single organism experiments are protective of microbial communities; Using Bayesian