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management, ensuring proper archiving and metadata documentation support project reporting and communication, including report writing and presentations mentor research assistants and students involved in
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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physics. We engage with industry, hospitals, international collaborators and universities to forge relationships that help take our projects from lab bench to patient bedside. Here, you will have the
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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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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