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Statistical Physics-based Approach ”, funded by the STFC. This is a collaborative project between Queen Mary University of London and South African partner universities in Stellenbosch and Bloemfontain
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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the Department of Infectious Disease Epidemiology & International Health and the International Statistics & Epidemiology Group. The group comprises 35 statisticians and epidemiologists based in London
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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
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Division), and the International Livestock Research Institute in Kenya. About the role The post-holder will lead the development of new computational and statistical approaches for inferring epidemiological