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extractions and microbial isolations. We are recruiting a student on an MRC-funded project at the Quadram Institute Bioscience, in collaboration with the Norfolk and Norwich University Hospital. The student
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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Primary supervisor - Prof Mark Searcey One of the key problems in the development of new anticancer agents is specificity. How do you get the compound to the site of action in the body and avoid
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for the rapidly developing quantum technologies. Quantum-optical measurements become especially intriguing in systems such as atomic ensembles or molecular processes whose quantum nature remains unclear. These open
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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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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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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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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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modifications affect topoisomerase activity during C. elegans nervous system development. This multidisciplinary project provides advanced training in molecular genetics, genomics, and translational biotechnology