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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a data scientist with experience in natural
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including mental health using linked electronic health records data. The post offers an excellent opportunity to design and conduct studies involving analysis of large-scale health data from the UK using
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analysis. Experience analysing large data sets is also essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term until 29 February
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
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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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labour markets, family economics and/or development; Good knowledge of applied econometrics; Experience working with large micro data; Experience using statistical software Stata or R, at advanced level is
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of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders