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University) in Engineering or similar relevant science discipline. We also welcome applications from graduates in computational science or mathematics. Note for international and European applicants: details
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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, geographically concentrated climate shocks and their interaction with banking and insurance systems. This PhD offers the opportunity to close these critical gaps by integrating cutting-edge flood science with
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. Working with directly with the British Geological Survey and project partners in industry including Gateshead Council (and Project Groundwater Northumbria) and the Mining Remediation Authority, this PhD
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the above 'Apply' button. Under programme name, select ‘School of Social Sciences and Humanities’. Please quote the advertised reference number, ‘FCDT-26-LU2’, in your application. This PhD is being
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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both laboratory (sequencing, qPCR, phage biology) and computational/analytical areas (bacterial and phage phylogenomics, genome-wide associations). During the PhD programme the student will spend time at
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been enhanced through predictive structural biology tools such as AlphaFold, which allow accurate prediction of effector structures from primary sequence. We recently identified a number of immune
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) in political science, communication science, economics, or in a computational discipline, as long as the candidate also has experience conducting research in a social science field. Apply by sending
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: The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse