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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in biological studies. This project is funded by a grant from the Human
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to the candidate, according to their expertise and interests, from more theoretical projects focused on characterizing non-stationary complex systems, through to more data-driven applications of such methods
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candidate will help characterise a novel oxygen sensing enzyme implicated in hypoxic disease using a range of biochemical, biophysical and structural techniques, with the aim of elucidating enzyme mechanism