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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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PhD Studentships in Statistics, Data Science and Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply How to apply Please read and complete
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code: 8208F · leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details
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· Select ‘PhD Marine Science (full time) 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
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s
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must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational
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for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC and the
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. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through