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cutting-edge geospatial AI. You will develop a scalable training pipeline to map species-level encroachment across landscapes, combining drone data with satellite products (Sentinel1/2, EnMAP, GEDI
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this challenge by developing modern data driven tools that help predict and manage corrosion in next generation bio refineries. The project brings together leading researchers from University of Leeds
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correspondence. Together, these materials form an insect archive that reveals evolving relationships between people and insects. The student will develop their own research questions, with wide scope to choose
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studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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). The AI DTC is an initiative by the University of Nottingham to develop future researchers and leaders who can address key challenges of the 21st century through foundational and applied AI research
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health. This is an exciting opportunity to work in a high profile, a pioneering initiative to develop novel built environment models to inform health outcomes. HD4 is a major international collaboration
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extend the data science capabilities and capacity created, to other inflammatory mediated diseases. This PhD studentship aims to train the successful candidate in public health research methods, health
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experience in basic data management and analysis, population health principles, and literature reviews. The role offers opportunities to develop skills in data curation, study design, project management, and
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing