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for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline. A relevant master’s degree and/or employment experience will be
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projects. Integrating environmental, engineering, and social science methods, the interdisciplinary team of researchers that this PhD will augment have identified, evaluated, and are evolving marine litter
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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, engineering, and stakeholder perspectives, the project will deliver new insights into the role of sediment in shaping flood risk. Its outcomes will inform asset management strategies, improve sustainability
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Geography, Biology, Chemistry, Earth Science or Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum
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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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Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum English language requirements. Further details are available
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: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or an appropriate Master’s degree with good programming skills