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discipline; demonstrable strong analytical and writing skills, and preferably Masters degree (with average programme mark of no less than 65%, UK grading scale/international equivalent). A recognised English language
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. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop a robust modelling framework to simulate future changes in water
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., Statistics and Data Science, Mathematics or closely related disciplines). Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills
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. Starting October 2026, the programme offers 13 fully funded studentships, including 2 AHRC Doctoral Landscape Awards, plus four fees-only studentships. Full details on how to apply and fees are here - if you
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an advantage. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international
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criteria: An MSc in a relevant subject (e.g. nutrition, exercise, or psychology-related degrees). A strong interest in e-sports. Experience of nutrition, cognitive or exercise assessments. English language
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programming, would be beneficial. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information
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professional development programme and research skills training. Find out more at www.uwe.ac.uk/research/postgraduate-research-study/about-the-graduate-school Funding details The studentship is available from 1
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subject relevant to the proposed PhD project (Marine-, Trophic-, Network-, or Behavioural- Ecology, Ecological Physiology). Applicants whose first language is not English require an IELTS score of 6.5
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(DoSChem) – Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven research