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Medicine (CTM) (50%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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close collaboration with SUMIT activity leads/partners and relevant stakeholders in the region. They will ensure that all SUMIT data needs are met and is to the highest ethical standards. They will
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the region. They will ensure that all SUMIT data needs are met and is to the highest ethical standards. They will undertake data collection and anonymisation, data analysis, dissemination and community
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The job details are shown below. For further information click on the link for the job description. About the role This role will be based in the Medical Statistics Group which is part of Peninsula
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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and child health. They will develop data analysis plans, organise data management, and conduct statistical analysis of national and local routine health datasets, including the Education and Child
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Environmental Engineering, and will have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis
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and child health. They will develop data analysis plans, organise data management, and conduct statistical analysis of national and local routine health datasets, including the Education and Child