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Field
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify
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human fungal pathogen Candida auris, to support the development of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to develop a workflow, using
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to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related
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of promoting research excellence in Data Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and
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unique opportunity to demonstrate the effectiveness of the Corstonian ‘one stop’ shop model. The overarching aim of the research agenda is to identify the ‘core offer’ that distinguishes the unique support
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, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. - To establish a national reputation and regularly disseminate and explain
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to develop new bioluminescent and other reporter strains of the multidrug-resistant human fungal pathogen Candida auris to support the development of murine infection models for antifungal efficacy
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Research Fellow who will work in the wider Theme B: Sustainable Food System and Supply. The post involves using sectoral datasets, and a demand elasticity matrix, to model future supply scenarios of food
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against different interfering systems. Develop, with colleagues, a spectrum sharing database for use by the JOINER community and design and develop models using AI/ML and other techniques to ensure
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in the development of novel sustainable catalysts, and support on reaction modelling to benchmark the microwave process against alternative technologies (as assessed by our partners). The successful