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engineers, concentrating activity and nutrient deposition around nests in ways that alter microclimate and plant communities. Processes such as ‘landscapes of fear’ affect where birds nest. This could
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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to these questions will provide a new and much needed understanding of the controls of fluid-flow processes in the Cornubian batholith and their controls on the fluid mobilization of geothermal heat and metals
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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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, current methods for processing seaweed carbohydrates are inefficient, relying on separate enzymatic and chemical steps that lack integration, selectivity, and process control. This project will pioneer a
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supporting international policy goals for deep-sea biodiversity protection. Research methodology This project will combine seafloor visual survey, targeted sampling and AI-assisted image analyses to: Define
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. However, real-world investigations have shown: 1) marine processes rapidly make added iron unavailable for algae; 2) co-limitation with other vital elements can mean that iron addition alone is ineffective
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reproduction and occupy adult ecological niches. Soft-tissue growth is essentially achieved by the synthesis and retention of proteins, an energetically expensive process, typically accounting for 25-40
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To apply for this position please click on the Apply button above. Please also see here for a list of supporting documents to upload with your application. For more information on the admissions process