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to recognise the shape, size, and materials of urban features, through the application of statistical, machine learning (ML) and artificial intelligence (AI) techniques. The use of freely accessible raw GNSS
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Watt Kingston Upon Thames Middlesex University Manchester University Reading University Edinburgh University ST Andrews University UCL Durham Fees and funding Fees and funding Fees 2026/27 UK: To be
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variety of CAI’s across all chondritic meteorites, machine learning analytics will be employed on a range of microscopy data sets, both archival and freshly acquired. Starting from optical micrographs a
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transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan outcomes. Guided by these insights, we will use state-of-the-art genome editing in
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trajectories of liver regeneration and cancer. Linking computer simulations with experimental observations will further uncover intrinsic and extrinsic factors shaping clonal expansion in mouse models of liver