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requirements for our PhD programme . All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average
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, computer modelling and innovative ideas and wishes to contribute to a healthy planet. Your background could be in physics, physical chemistry/engineering, or biomedical sciences, and your role will be tuned
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technologies (phage-display) for stratification of fracture repair and bone regenerative treatments by gender. This project offers a unique interdisciplinary programme at the engineering, life science, and
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of computations. Recently, many areas of computer science have taken a quantitative turn. The goal of this project is to study quantitative properties of systems by developing quantitative logics and related
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of these based on AMD computer processor and graphics processing unit (GPU) technology. These implementations will develop machine learning models to determine performance and complexity when compared
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a strong background in Computer Science, Engineering, Maths or Physics, and preference would be given to those with a good understanding of computer vision and deep learning. It is essential to have a
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Computing: Drawing inspiration from biology, this project pioneers a cutting-edge platform for streamlined and efficient computing. Specific requirements of the project Candidates must have a strong
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’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8090F. Research Area: Mechanical and Systems Engineering. Select ‘PhD Mechanical
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, Signal Processing, Machine Learning, or Computer Science. We welcome applicants onto the CDT from underrepresented groups. Closing date : 31th Aug 2024. Funding: Full-time studentships will cover UK
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, leading to novel engineering applications in sustainable architecture and green energy. We are seeking a motivated PhD candidate with a background in mechanical engineering, mechatronics engineering, civil