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Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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. 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 Please read and complete
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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clothing. While inclusivity has become a recurring theme in fashion discourse, there remains a critical gap in both academic research and industrial application when it comes to designing, engineering, and
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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Acceptable first degree - Physics, Mathematics, Natural Sciences, Engineering, Computer Sciences. The standard minimum entry requirement is 2:1. Mode of study: Full-time Start date: 1st October 2026 Funding
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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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. See UKCISA for further information . Starting in April 2026. You will need to meet the minimum entry requirements for our PhD programme . This studentship involves analysing electronic health records
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which is part a four-year degree programme for Chinese students, leading to a dual award from both institutions in Accounting & Finance and Business Studies. You should focus primarily on delivering high