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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro
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selection criteria will be used by academic schools to help them make a decision on your application: https://www.lboro.ac.uk/study/postgraduate/apply/research-applications/studentship-assessment-criteria
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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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on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI through Flood-CDT (https://flood-cdt.ac.uk/ ). The studentship is for 3.5 years and
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minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI
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relevant subject. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk
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from https://centa.ac.uk/apply/ ) under the ‘Our project-based studentships’ section on that page. All applications should be made online . Under Campus, please select ‘Loughborough’ and select the