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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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Zero futures will impact on everyday lives, practices and social relations. In response, new approaches are developing more holistic, people-centred and place-based understandings. This work examines the
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Project Supervisor - Dr Stefano Landini The rapid evolution of electric vehicles (EVs), data centers, and high-performance energy storage is driving the need for battery systems that manage heat
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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capabilities within dynamic urban settings, where delivery demands and sensing requirements fluctuate rapidly across time and space. By developing intelligent scheduling and decision-making frameworks
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Primary supervisor - Prof Colin Cooper It is well established that bacteria can cause human cancer, with, for example, Helicobacter pylori implicated in the development of gastric cancer and
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global hotspot for Berberis diversity, which also holds significant cultural and medicinal value in the country. Understanding the relationship between wheat rusts and Berberis is critical for developing
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conferences. This project offers the opportunity to develop advanced research skills in immunology, microbiome science, and bioinformatics, alongside transferable skills essential for future career development
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, the candidate will explore the evolution of the gut microbiome and changes in the epithelium in patients with Inflammatory Bowels Disease (IBD). To enable this, the candidate will develop new methods for high
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secondary supervisor Dr Falk Hildebrand (Quadram Institute), who is an expert in bacterial metagenomics associated with diseases such as IBD and has developed multiple tools for understanding complex