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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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Research theme: Catalysis and porous materials This 3.5-year PhD is fully funded by The University of Manchester. Tuition fees will be paid and you will receive an annual tax free stipend set at
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and diffusion of gases/vapours. This project will investigate and develop methodologies for understanding the key relationships between fundamental materials properties (degree of crystallinity, extent
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relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases
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collaboration and travel. Opportunities to develop a range of non-technical skills (presentation, organisation, leadership) through bespoke training programme of the Hub, mentoring and a broad range of university
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tuition fees will be paid. New turbo products for automotive and energy sectors are being constantly developed by Cummins and the material from which the turbine wheel is manufactured is being placed under
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
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Extended reality (XR) is steadily developing into a reliable digital environment, bringing tangible advantages to various practical scenarios. Realistic use cases include immersive medical training