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equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams, in medical statistics and in the analysis of large healthcare datasets (such as CPRD
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qualification/experience equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams and in the preparation and analysis of large healthcare datasets such as
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environmental epidemiology research team at LSHTM to work on a new UKRI-funded study in the field of climate change and health entitled THERM-UK. This is an exciting opportunity to be part of a large
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About us This post is within the School of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000
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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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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