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Associate in statistics to the 3-year Engineering & Physical Sciences Research Council funded project PINCODE: Pooling INference and Combining Distributions Exactly: A Bayesian Approach. The Bayesian fusion
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, gridded and reanalysis data) to facilitate the identification and statistical characterisation of health-relevant heat events. Your work will contribute to the development of city and national level spatial
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, statistical and computational skills, and ability to work independently and as part of a team. Successful candidates will be mentored by an experienced member of academic staff throughout their term in one
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combining biology with computing science. Use standard bioinformatics and statistical computer programs to analyse laboratory data. Demonstrable experience working with computer scientists, mathematicians
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knowledge in bioinformatics Detailed subject knowledge in biology Understanding of the application of statistical methods to omics studies Experience with the research environment (design and delivery