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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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This cutting-edge PhD project is hosted at Quadram Institute Bioscience in collaboration with Origin Sciences. Using large-scale metagenomic data from non-invasive mucus sampling, in this project
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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for: direct-from-sample diagnostics by - 1) Benchmarking Pathogen Detection: Investigate analytical sensitivity and "diagnostic cut-offs" to distinguish active infection from healthy asymptomatic carriage. 2
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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
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such as environmental science, ecology, geography, engineering, and data analytics. Essential: A strong academic background (2:1 or above, or equivalent) in a relevant subject; Experience with statistical
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reporting of SMART trials. What we are looking for This PhD is suitable for a UK resident with: Strong analytical and programming skills (e.g. R, Stata or similar) A Degree or Master’s with a substantial