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for disadvantaged young people in the UK. Given the nature of the project and the potential for regular, unsupervised contact with young people, you will be subject to an Enhanced Check through the Disclosure and
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centres on developing predictive frameworks that accurately forecast match outcomes and league positioning through sophisticated data analysis. The candidate will implement machine learning techniques
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the Department of Life Sciences (or download the PGR application form ) and submit your CV and a Cover Letter indicating how your expertise is a good fit for the project, how your experience makes you suitable
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of Admission and will be subject to standard checks for eligibility and other criteria. For more information or informal enquiries, please contact Dr Piril Hepsomali (P.Hepsomali@reading.ac.uk ).
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criteria Master’s degree in history, economics or another relevant field Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master's
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separately provided from the QMUL Offer of Admission into the PhD Programme – which is subject to standard checks for eligibility. For further details, you can contact Dr Innocent Batsani-Ncube at i.ncube
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; this will be provided separately from any Offer of Admission and will be subject to standard checks for eligibility and other criteria.
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should include: A cover letter outlining their motivation for doing a PhD, why this specific project is of interest and how their skills (technical and transferable) match those required of this project
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of the proposed research; its relevance to the project; and fit with supervisorial strengths at Durham.
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are interested in visualization. And/or Substantial experience in working with data and interest in visualization outside of higher education (subject to institutional approval). Whether or not you ‘fit’ existing