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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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new environments. For more information and for an initial discussion please contact: Prof Jane Williams jane.williams@hartpury.ac.uk . PhD Studentship Selection Criteria: Please demonstrate
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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tools to support more inclusive decision-making. The PhD offers advanced training in spatial analytics, nature-based design, and environmental justice, empowering you to contribute to national and global
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data analysis. The PhD student will benefit from not only the excellent academic environment at The University of Manchester, but also from access to state-of-the-art instrumentation such as the recent
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proposed PhD project. Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements
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PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication
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equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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both laboratory (sequencing, qPCR, phage biology) and computational/analytical areas (bacterial and phage phylogenomics, genome-wide associations). During the PhD programme the student will spend time at