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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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between the Universities of Cambridge and Bonn and numerous international partners, and funded by Stiftung Mercator. The programme investigates how to place the questions of social justice and environmental
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, ability to analyse numerical data and present results appropriately. • Demonstrate ability to work as part of a team. Desirable The ability to communicate through the medium of Welsh. General The University
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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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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