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potency to protect against the associated infectious diseases and potential pandemic threats. The focus of this project is to explore the possibility of using this methodology to develop a pan-corona virus
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in the discipline to develop research projects and methodologies are essential as well as strong communications and written skills. For informal queries, please contact Professor Matthew
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in the Mathematical Institute (https://www.maths.ox.ac.uk/groups/mathematical-biology/infectious-disease-modelling). The postdoctoral researchers will develop data-driven mathematical models and
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semiconductors for renewable energy generation”. This collaborative project will tackle the complex array of exciting fundamental science arising in “soft” inorganic and hybrid semiconductors, seeking to develop
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’. The post holder will be a member of Prof Kylie Vincent’s research group and will work on developing bio- and chemo-bio catalyst systems for transformation of biomass derived chemicals into valuable diols and
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informing the development of more precise immunotherapies. The successful candidate will: • Design and carry out in vivo experiments in preclinical mouse models of autoimmunity • Perform
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the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on development of computational approaches to integrate multi-omics