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the sensitivity of tumour cells to radiotherapy, with the ultimate goal of improving cure rates while minimizing side effects. A key component of our work involves translating laboratory discoveries into clinical
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science, with applications to public and veterinary health, therapeutic development, and pandemic preparedness. You will contribute to method development, data analysis, and collaborative projects, and will
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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and breeding grounds for whales in the past. Using phylogenetic comparative methods and the niche modelling results, the post holder will examine the evolutionary history of ecological niches broadly
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willing to learn new methods and skills and have excellent communication skills. See the job description for the full list of selection criteria. Informal enquiries should be directed to Dr Jani R Bolla
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education serves to politicise today’s students, through a longitudinal, mixed methods study. The project is being conducted in collaboration with colleagues at Durham University and the University
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expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development
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incorporated into cellular function. We are now looking for a postdoc with expertise in IDPs and NMR that can help us study these systems in more detail. Training will be provided in NMR, programming methods
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the aim of conducting deep exploration of cancer precursors (precancers) to identify their molecular vulnerabilities and developing methods to intercept them. The alliance is directed by Professor Sarah
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programming skills and expertise with computational methods for neural/behavioural data analysis. You will have experience in conducting task-based functional neuroimaging and/or behavioural experiments, and