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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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metabolism using ML approaches, for new unseen compounds to guide antibiotic discovery. The proposal will (i) modify these methods to map out permissive chemical space in a gram-negative bacteria, (ii
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impacts are currently estimated and reported and investigate the impacts of high-impact computational tools in AI. You will have research interests aligned with those of our group and the freedom
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the context of algorithmic problems related to constraint satisfaction and graph homomorphism and isomorphism problems. It brings to bear significant new mathematical (algebraic and topological) methods
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study of some of Egypt's earliest metal objects found in funerary contexts. Using advanced non-invasive analytical techniques, the research will evaluate manufacturing methods, technological choices, and
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of the improvement in survival with gliomas over the last 20 years has been down to surgery. We know surgery can kill more tumour than all other methods and that good resection of tumours can improve the efficacy
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. Experience and skills designing, building and optimising optical, optoelectronic, material characterisation, lithography, microscopy, sensor characterisation systems. Experience and skills in computer
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, biomedical sciences, or a related discipline. A relevant Master's degree is desirable but not essential. Experience in quantitative statistical methods is essential, and autism research experience would be