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Funding providers: Siemens Mobility, Faculty of Science and Engineering Subject areas: Computer Science, Software Engineering, Software Testing, Verification, Software Certification Project
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candidate is expected to have a solid background in applied mathematics/statistics/computer science or related discipline. Advanced coding skills are a big plus. This position is fully-funded and research
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5.5 in all sub-skills. 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
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, for example, embedding quantum sensors, clocks and encryption in a quantum communication network. The projects are suitable for students who have either an engineering or a physics background. The programme
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to meet the minimum entry requirements for our Health Sciences PhD programme. How to apply Applications should be submitted via the Health Sciences PhD programme page. In place of a research proposal, you
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. Specific requirements of the project Minimum of an upper second class in Computer Science or related discipline. An MSc in Computer Science or related field will be an added advantage. A keen interest in
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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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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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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