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. Evidence may include peer-reviewed publications in top-tier journals (e.g., IEEE Transactions/Letters) and top conferences. To apply, please contact the main supervisor, Dr. Kaitao Meng -kaitao.meng
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the main supervisor, Dr Bissett - mark.bissett@manchester.ac.uk , to discuss this. Project Overview Carbon nanotubes (CNTs) are critical components in advanced technologies, particularly as conductive
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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and exposed surface also plays an important part for optimising microstructure hydrogen interaction. In parallel, the main draw-back of using Zinc is the nature of the corrosion reaction when exposed
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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No of positions: 1 This 3.5 year PhD project is fully funded at UK rates; the successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. UK students and those with settled status are...