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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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novel 2D and 3D (organoid, spheroid, epithelioid) models that are needed to identify and validate drivers of radioresistance. The School of Medical Sciences is committed to promoting equality and
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novel 2D and 3D (organoid, spheroid, epithelioid) models that are needed to identify and validate drivers of radioresistance. The School of Medical Sciences is committed to promoting equality and
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to explore how AI can improve public services, with a focus on temporary housing, social care, the local economy, and sustainability. Your work will involve developing predictive models to help prevent
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services, with a focus on temporary housing, social care, the local economy, and sustainability. Your work will involve developing predictive models to help prevent homelessness and improve the way temporary
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College. To check whether the course you are planning to apply for is accepted by Somerville College, please review the relevant Course page. The scholarship is jointly funded by the University and the
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candidate will have a: Strong background in a relevant discipline (mathematics/ physics/ computer science/ bioinformatics). Enthusiasm for immunology and mathematical modelling Creative approach to problem
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Project Title Modelling climate risk in the Arctic School/Faculty School of Geography Closing Date 31/05/2025 Eligibility UK Only Funding Home Funded Lead Supervisor’s full name & email address Prof
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experience in Biosciences and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical
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and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical capability is essential