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Field
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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exhibit complex two-dimensional structures whose performance is governed by subtle variations in layer stacking and nanoscale disorder—features that are difficult to resolve with currently available
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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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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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-based structural integrity model, validated using synchrotron X-ray microtomography and phase contrast imaging, to predict the lifetime of UK’s advanced gas-cooled reactors fuel cladding in storage
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PhD Studentship – New approaches for studying the structure of high-temperature molten materials Transition: (October 2025 start) Supervisor 1: Emma Barney Supervisor 2: Oliver Alderman (ISIS
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on the phase shift of vibration of the structure. However, the coupling effect of flow performance and vibration of structure, as the underlying mechanism of CMF operation, is not considered in the CMF
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The aim of this project is to analyse the effect of hydrogen and Low Carbon Intensity (LCI) fuels on degradation of surfaces exposed to such harsh environments and, subsequently, structural
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carbon emissions reduction targets set out by the UK- and Irish governments up to 2050, Floating Offshore Wind energy will likely play a significant role. Construction of concrete floaters is attractive
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in