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student fees. Exceptional candidates may be eligible for an International Fee Bursary. Project overview: The project aims to use state-of-the-art methods to derive detail about the provenance of precious
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metallographic approaches is challenging due to the fine scale of features and limitations of stereology. Similarly, crystallographic methods such including laboratory X-ray diffraction cannot readily distinguish
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to quantify the phase fractions and lattice parameter evolution, which in turn will allow quantification of the phase transformations taking place. This approach has advantages over other methods as it utilises
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independent researcher. We welcome applications from students who wish to apply innovative statistical methods to real biomedical problems in order to deliver key insights into human health and disease. Three
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will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine learning approaches to improve detection and
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the computational and experimental methods will be provided in the projects, although relevant previous experience would be advantageous. Applications for this PhD project should be submitted via the University
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the proteins associated with their binding sites with a view to understanding therapeutic mechanisms [e.g. see Nature Biotechnology 2023, 41 1265]. We are expanding this work to create methods to characterise
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situ, with direct structure determination, and (ii) investigating and optimizing methods for chirality determination using electron crystallography. Candidate We are looking for a highly motivated and
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chromatin profiling methods along with CRISPR/Cas9-meduated cell line engineering and various animal models. You will study the effects of the activation or depletion of chromatin-modifying enzymes using
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. Current Mass Spectrometry approaches have been unable to assess most of the FOXA1 protein for PMTs, but new Mass Spectrometry methods such as 'top-down' approaches permit an unprecedented opportunity