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experience, candidates are expected to have strong teamwork and collaboration skills, as well as competency in critical and independent thinking. You’re a good fit if: you have experience in machine learning
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OU Faculties to discuss their project ideas and how these may fit with existing research in the OU and with the AHRC’s remit. You can find more about OU postgraduate research in the Arts and Social
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assessed upon: Motivation and career aspirations Potential and intellectual excellence Suitability for specific project Fit to FLOOD-CDT Please familiarise yourselves with FLOOD-CDT before applying. During
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://flood-cdt.ac.uk . Please note, that your application will be assessed upon: (1) Motivation and Career Aspirations; (2) Potential & Intellectual Excellence; (3) Suitability for specific project and (4) Fit
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more frequent and intense extreme rainfall events, creating serious challenges for flood risk management across the UK. Current rainfall datasets are not fit for purpose: radar estimates can be
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, this will be confirmed via a formal studentship award letter; 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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on AI-assisted biocide design to link to their selective membrane targeting and cytotoxicity and a real-world check at Arxada labs based in north Manchester. Completion of some of these training tasks
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separately from any Offer of Admission and will be subject to standard checks for eligibility and other criteria.
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, and viability of the proposed research; its relevance to the project; and fit with supervisorial strengths at Durham.
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& Intellectual Excellence; (3) Suitability for specific project and (4) Fit to FLOOD-CDT. So please familiarise yourselves with FLOOD-CDT before applying. During the application process candidates will need