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Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine
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undergraduate degree (or the international equivalents) in engineering, computer science or mathematics and statistics, we would like to hear from you. If your first language is not English, or you require a
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. Predicting key physical and mechanical properties of marine sediments—such as shear strength, stiffness, and density—is central to designing offshore infrastructure, influencing foundations, anchors, cable
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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strategic priorities in Digital Twins, Environmental Intelligence, and Data-Driven Engineering, using advanced computational modelling to support ecosystem resilience and sustainable management. The project’s
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First-class (or equivalent) degree in Mechanical, Automotive, Powertrain, or Control Engineering, or a closely related discipline. Strong academic performance and research potential are essential
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programme) clearly stating the title of the project and the name of the supervisor, Dr. Miguel Navarro-Cía (m.navarro-cia@bham.ac.uk ). Funding notes: Applications are sought from highly motivated students
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capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises