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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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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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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
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- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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Further information can be found at http://www.eng.ox.ac.uk/jobs/home The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology
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animal behaviour, neural recordings in behaving animals and neurosurgical techniques. They will have experience with analysis of behavioural and neural data, strong quantitative skills and proficiency in