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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing
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), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing
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. The candidate will also have experience of psychophysiological methods, preferably EEG or MEG, and strong quantitative and programming skills in time series analyses using Python/MATLAB (or equivalent
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, multidisciplinary facilities for studying cellular and animal disease models. It also maintains numerous collaborative research links across the UCL Queen Square Institute of Neurology, UCL, the UK, and
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experience and understanding of statistical analysis methods using Stata, including descriptive statistics and regression analysis of large complex datasets, as well as epidemiological concepts. Customer
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analysis methods, powder processing, optics, signal processing, and related fields. Ideally, they would also have experience in imaging, image analysis, and microstructural analysis. Their expertise should
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further