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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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responsibilities include working with communities to understand complexity, collecting and analysing data, and reporting to a range of audiences. About the person: Essential Criteria: An upper second-class honours
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and analyse field data, contribute to high-impact publications, and present findings at conferences and workshops. Collaborate and Engage: Work closely with industry partners, participate in project
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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%). 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 (BUMP, focussed
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at the Institute for Regeneration and Repair. In this role, you will contribute to cutting-edge research using genomic data to understand why critically ill patients respond differently to infection. Your work will
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macroinvertebrate sample processing in the laboratory including picking of invertebrates from the samples and subsequent identification, processing of sedimentological samples, to input processed data
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modelling and computer simulation to study the earliest stages of embryogenesis in mammals. This full-time post in the group of Dr David Richards at the Living Systems Institute (http://projects.exeter.ac.uk
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data analysis methods for fitting of mathematical models to single cell data. Your working environment will be in the Zeeman Institute (SBIDER) https://warwick.ac.uk/fac/cross_fac/zeeman_institute/ and