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) (Experimental)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) – Use this template
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& Operations Manager, Laudato Si’ Research Institute, harriet.david@campion.ox.ac.uk . For further information on the scholarship, please see here . Course fees are funded by the Jesuits in Britain. The LSRI is
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study: search for the ‘Course Title’ using the programme code:8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information
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’ using the programme code: 8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section
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. Supervisors:Dr Isabella Guido and Dr Richard Sear Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in July 2026. Later start dates may be possible
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An interdisciplinary and international research environment Professional development in research communication, data analysis, and project management How to Apply Please send the following documents as a single PDF to
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, clinical or community setting. Core skills include: Familiarity with relevant research methodologies, data management and clinical exercise guidelines. Effective time management, with the ability
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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awards for Black, Asian and Minority Ethnic students and for Kingston University alumni. We are looking for students with expertise that matches our areas of research excellence. More information on our
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College of Chemistry and Molecular Engineering, Peking University | London, England | United Kingdom | about 17 hours ago
Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge