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Field
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THR demand in younger patients expected to increase fivefold by 2030, revision surgeries will also rise. To improve implant positioning, image-guided navigation is increasingly used in complex THR
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
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flagship programme of research, Inventing Futures (IFs) . This studentship is for full-time study and covers home-level fees and an annual stipend at the level set by UKRI . International candidates
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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platforms, enable light manipulation for next-generation ultrafast applications in spectroscopy, sensing, and telecomms. Ultrafast lasers drive innovations from quantum technology to medical imaging, yet
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia