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infrastructure, enabling effective use of the facility for these cutting-edge experiments. Applicants should hold, or be nearing completion of, a PhD in cancer biology, radiobiology or a related biological
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statistical analysis of the data and the production of manuscripts. Suitable candidates will have a background in statistical genetics and bioinformatics with a PhD in a relevant subject. The candidate will
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the NHS. You will need to have obtained (or be about to obtain) a PhD in economics, health economics or a similar discipline, with a substantial quantitative element. You will also need to demonstrate
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to work on new projects as they are funded. The key purpose of these posts is to develop and apply health economic methods to understand the impact of specific healthcare interventions. The successful
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, or be working towards, a PhD or equivalent in environmental modelling, geographical information science, (computational) environmental science, (computational) physical geography, (computational
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relevant PhD or equivalent qualification/experience in a related field of study, with sufficient specialist knowledge in power system analysis and optimisation with simulation skills in power system
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) Specified use +3.5 - covering a full postgraduate research programme Please note that existing postgraduate research students and applicants for distance learning PhD programmes cannot be considered
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for this award you must meet the following criteria: Have submitted an application by the deadline for a PhD programme to start in September 2024. Hold (or expect to achieve) a first class honours undergraduate
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you must: Have submitted an application by the deadline for a PhD programme to start in September 2024. Hold (or expect to achieve) a first class or 2.1 UK honours undergraduate degree (or international
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University of Manchester will not cover tuition fees in general scheme awards. Please note that applicants for distance learning PhD programmes cannot be considered for this funding. Tenable period 3 or 4