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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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conferences. PhD: 3 years full-time; 5 years part-time; Thesis of 70,000-100,000 words MLitt (Research): 2 years full-time; 3 years part-time; Thesis of 40,000-70,000 words MPhil (Research): 1 year full-time; 2
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Our main research themes are: Life and its Interactions with Dynamic Environments, and Global Landscapes & Climate Change. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words
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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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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