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, early modern and modern world history. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative analysis
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change to delivery of health services. Experience with large datasets and excellent communications skills will be essential for this role. This role will involve developing and applying analysis plans
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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genetics and genomics or a related field with a proven track record in the analysis of large biological datasets. They are expected to be able to work effectively as part of a team but also to direct
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research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning