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, data reporting, and communicating statistics and trends to a lay audience. The person will be responsible for supporting the statistical analysis of project work, basic research of trends in
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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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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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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
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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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clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data
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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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equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Direct experience developing and deploying
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surveys. The post-holder must have a postgraduate degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods