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function and develop science-based advice in fisheries management to prevent significant adverse impacts. This project will combine seafloor visual surveys, targeted sampling and AI-assisted image analyses
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and the potential effects of this method of fishing on scallop stocks, other species and the wider ecosystem. Through analysis of existing data, aquarium and field-based experiments, and modelling
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diversity can help assess vulnerability and guide conservation of VMEs. This project will advance our understanding of VME functional ecology and develop science-based indicators of ecosystem health, directly
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microporosity vary across the granites, how is this impacted by mineralogy and macroscopic structures, and how can we scale lab-based measurements of porosity with field observations? The answers
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position in a ‘landscape of fear’. Objective 3: Develop spatially explicit models to predict how nest footprints combine to generate landscape-level variation in microclimate, carbon flux, and plant
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-ML to identify potential for upscaling a GIS model versus field collected geochemistry data to inform areas that would benefit from soil erosion mitigation and protection from land clearance. Training
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biodiversity. However, current plankton monitoring is insufficient, limiting our ability to detect biodiversity shifts, model ocean responses to climate stressors, and inform effective conservation policies
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to study the effects of altered gas and pressure on the human brain. The studentship will start on 01 April 2026. This collaborative project is based at the University of Plymouth’s Brain Research & Imaging
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? The solution requires the design and fabrication of doped, Fe-based nanoparticles with tightly constrained physico-chemical properties that enhance biouptake. The physical removal of nanoparticle-algae
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degradation will be measured. In parallel, field-based measurements will be made of protein degradation pathways, and growth/protein synthesis proxies in wild fish at times of high and low sea temperature, in