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                applications, data collection, and dissemination. The role will involve qualitative research such as discourse analysis, interviews, participatory workshops with carers and stakeholders, and data coding 
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                collection and analysis such as interviews, discourse analysis, participatory workshops, coding, and content analysis. The postholder will also contribute to the new Race Equity in Care survey, including 
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                High Performance Computing facility, where the current code is implemented. The candidate will, among other activities, extend the model to treat different management interventions, peat growth and decay 
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                , and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have 
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                : Experience of translating ideas and quantitative problem formulations into data processing tasks and/or quantitative models. E2: Experience of developing and running statistical and/or programming code 
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                your formal application, please name Prof Peter Munro as your proposed supervisor and include Project Code 24001. Contact: For informal inquiries please contact Prof Peter Munro who will be happy 
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                Northern Advanced Research Training Initiative network. How To Apply Please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=nubs012 for application instructions. Shortlisted 
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                the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A 
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                . Daily activities include coding, data analysis, simulation modelling, and collaboration with industry partners. Some travel to manufacturing facilities and conferences may be required. This funded PhD 
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                of CambridgeCountryUnited KingdomCityCambridgeGeofield Contact City Cambridge Website https://www.eng.cam.ac.uk Street Trumpington Street Postal Code CB21PZ E-Mail f.forni@eng.cam.ac.uk tso24@cam.ac.uk STATUS: EXPIRED X