7 postdoc-position-in-image-coding PhD positions at University of Plymouth in United Kingdom
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effective conservation policies. Although advances in imaging technologies have enhanced the spatio-temporal resolution of plankton sampling, these data remain virtually unused in biodiversity assessments and
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. Although advances in imaging technologies have enhanced the spatio-temporal resolution of plankton sampling, these data remain virtually unused in biodiversity assessments and policy frameworks
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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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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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in mineralogy, geochemistry, material properties and big-picture Earth Science questions. If your first language is not English, you will need to meet the minimum English requirements for the programme
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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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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