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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational
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, ideally a doctoral degree, in demography, statistics, epidemiology or related topic. Expertise in mathematical demography, statistics or other discipline with strong quantitative components to estimate
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an interest in infectious diseases to explore the trends in antibiotic resistance prevalence in infection by age and sex. The post-holder will develop statistical models to analyse large individual patient
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doctoral degree, in a relevant topic and relevant experience in randomised trial analysis. Evidence of strong quantitative skills with expertise in a common statistical package such as R or Stata is
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the Medical Statistics Department and includes teaching postgraduate students at LSHTM. The successful applicant will have a post-graduate degree in biostatistics or a related discipline, preferably a doctoral
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strong data management and quantitative skills with expertise in a common statistical package (e.g., Stata/R). Further particulars are included in the job description. The post is full-time 35 hours per
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modelling to support polio eradication. Statistical models will be developed to forecast spatial spread of poliovirus in affected countries, which may be used to inform the scope of outbreak response
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a postgraduate degree, ideally a doctoral degree, in a relevant topic and have experience in advanced statistical analyses in R, STATA or Python. Relevant experience in performing cost effectiveness