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Campus. The CMDL is a key strategic resource for the integrated cancer medicine programme aimed to translate innovative genomics methods for advanced diagnosis and clinical management of cancer
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skills field, ideally at postgraduate or professional levels. - A solid grounding in applied data science, including statistical methods, machine learning, and Programming. - Experience delivering
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teaching. You will have proven commitment to excellence and innovation in teaching methods and assessment, including through lecturing, practicals and field courses. You will be well-versed in pedagogical
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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supervise for the Dissertation in Sociology. Teaching and supervising on the Sociology MPhil on the Marginality and Inequality pathway Leading seminars and classes on research methods or other topics
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Being overweight is a known risk factor for developing breast cancer, and obese patients experience poorer outcomes. But the biological basis of these associations remains poorly understood. Past efforts
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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methods for analysing paleogenomic data, including sequence evolution modelling. Organise and lead field expeditions to collect sediment cores and carry out subsequent subsampling for ancient DNA extraction
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neuroscience and plasticity questions, and is imbedded in the wider Cambridge neuroscience environment. The key ingredient is to be passionate about the questions of the lab, to be independent, and a background