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of the City of London and within the world-renowned William Harvey Research Institute at Barts and The London School of Medicine, Queen Mary University of London (QMUL). The appointed person will undertake
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tailored to clinical need and patient specifics. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history
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serve both as high-dimensional generalisations for well-known phenomena in random graphs and stochastic geometry, and as means to develop insight into statistical and computational challenges in
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Barts BioResource (www.bartsbioresource.org.uk ). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our
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to continue to expand its research profile as well as its study programmes across UG and PGT. This position is based in the Centre for Data Science, Statistics and Probability. Other Centres include the Centre
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public and global health research, education and translation of knowledge into policy and practice. The school is seeking to appoint a Research Fellow in Medical Statistics, Data Science or Health
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tailored to clinical need and patient specifics. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history
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expertise spanning biostatistics, environmental epidemiology, data science, statistical computing and climatology. Candidates are required to either have an undergraduate degree in statistics or epidemiology
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of anticipated completion of a PhD in Medical Statistics or Epidemiology. Experience conducting independent research using routinely collected electronic health records and writing analytic code in Stata, R and/or
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include: researching issues of current or potential interest to IMMANA and the ANH Academy; producing epidemiological and statistical analyses; working on systematic reviews; and drafting research outputs