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deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants should ideally hold an excellent honours science degree (e.g. 1st class or international equivalent
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enthusiasm and technical foundation to contribute to ambitious interdisciplinary research. You should ideally have: A first-class or upper second-class degree, or a master’s degree, in Engineering, Computer Science
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well as academic guidance and mentorship. The scholarship may be awarded to applicants who have just completed their undergraduate studies; or have completed a Bachelor’s degree or a Master’s programme and/or have
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before the deadline. In many applications such as biological sciences, social science, and engineering, we encounter high-dimensional observations. Bayesian approach can provide a flexible modeling
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Area Engineering Location UK Other Closing Date Thursday 30 April 2026 Supervisors: Dr Ming Li , Prof. Hao Liu Programme Length: Four years Contract Type: Full-time Prospective Start Date: October
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the postgraduate research environment. As a PGR at the University of Nottingham you will benefit from training through our Researcher Academy ’s training programme. Based within the Faculty of Engineering you will
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honours degree or equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), Background in aerospace, computer science, robotics, or electrical
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for this project should note that a Master’s degree in Economics, Statistics, Mathematics or Computer Science is essential. Financing the Circular Economy Transition. The transition towards a circular economy (CE
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
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for steel metallurgy, electromagnetic sensing, and high-temperature experimentation. It will run alongside the major UK research programme Frontiers in Electromagnetic Non-Destructive Evaluation Research