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This online distance learning programme offers a professionally relevant and academically rigorous opportunity for advanced study in education. The programme is designed for professionals at all
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years part-time; Thesis of 30,000-40,000 words Apply now Overview Overview Our research strengths include: Scottish military history Medieval warfare Early modern warfare The Napoleonic Wars Colonial
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expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan
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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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and cellular mechanisms shaping spatial and temporal trajectories of liver regeneration and cancer. Linking computer simulations with experimental observations will further uncover intrinsic and
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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