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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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PhD Studentship – Modelling human mobility within Cities and machine learning approaches School of Social and Political Sciences (SPS) PhD Scholarships Support Support The College of Social Sciences
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Information technology services - core computer skills and also specialist training, such as Finding and Using Library Special Collections Material and use of quantitative data analysis software. Staff development
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thinking, working collaboratively with external partners, taking responsibility for own learning and development, communicating ideas effectively, analytical techniques including gas chromatography mass
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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