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in vivo experiment documentation, sample inventories, and reagent information. You will also be responsible for ensuring that work in the laboratory is conducted safely and that work is undertaken
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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which area you’re applying to (AI & Epidemiology, Phylodynamics & Human Mobility, Climate & Infectious diseases, Global health digital data science), as well as your preferred starting date. We
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/or directly drive those investigations with simulations and data analysis, as well as providing interpretation of the data. Depending on the specific attitudes and interests of the candidate the job
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in the Mathematical Institute (https://www.maths.ox.ac.uk/groups/mathematical-biology/infectious-disease-modelling). The postdoctoral researchers will develop data-driven mathematical models and
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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
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of independently managing a discrete area of a research project, collaborating in the development of research articles for publication, planning fieldwork and contributing to data collection in the field as
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targets, by leveraging high-dimensional big data (e.g. electronic health records, multi-omics and phenotypic) from large prospective biobanks including China Kadoorie Biobank (CKB) and UK Biobank (UKB), and
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analysing, interpreting and presenting data. Attention to detail is essential. The postholder will have excellent organisational and laboratory management skills, and will be a team-player able to support