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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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populations within the TME are relevant to tumour evolution and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer
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the ecology of infectious diseases, and thereby benefiting greatly from overlap with strengths in spatial and quantitative ecology. Our modelling is developed in close proximity to data, and focused
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defining environmental policies such as setting biodiversity targets. This project will aim to construct spatial models of biodiversity, explicitly accounting for the temporal structure of the data
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frameworks. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research projects The role of peripheral glial cytoplasmic mRNA
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PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words Apply now Research projects Research projects Self-funded projects Indicative Data Science: Extracting 3D Models of Cities