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London, Greater London, United Kingdom The International Society for Bayesian Analysis Full timePostdoctoral Research Associate in Bayesian Modelling for Anti-DopingWe are seeking a highly skilled Postdoctoral Research Associate to join our team at The International Society for Bayesian Analysis. The successful candidate will work on developing Bayesian statistical methods for anti-doping with Professor Jim Griffin and Professor James Hopker.Project...
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London, Greater London, United Kingdom The International Society for Bayesian Analysis Full timeResearch Scientist in Bayesian Modelling for Anti-DopingThe International Society for Bayesian Analysis is seeking a highly skilled Postdoctoral Research Associate to work on a 2-year project focused on Bayesian statistical methods for anti-doping. The successful candidate will collaborate with Professor Jim Griffin (UCL) and Professor James Hopker (Kent) to...
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London, Greater London, United Kingdom The International Society for Bayesian Analysis Full timeProject OverviewThe International Society for Bayesian Analysis is seeking a highly skilled Postdoctoral Research Associate to work on Bayesian statistical methods for anti-doping. The successful candidate will collaborate with Professor Jim Griffin (UCL) and Professor James Hopker (Kent) on a project funded by the World Anti-Doping Agency.Key...
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Research Associate in Bayesian Statistics
2 months ago
We are seeking a highly skilled Research Associate to join our team at The International Society for Bayesian Analysis. The successful candidate will have a strong background in Bayesian and computational statistics or machine learning and causal inference, including machine and statistical causal structure learning.
The primary focus of this project is to develop novel causal inference tools tailored for single-cell sequencing data. This will involve working with large datasets, including the world's largest single-cell RNA-sequencing dataset of the human brain, to define molecular causes for neurological disease.
This is a collaborative project with national and international experts in their field, including Prof Michael Johnson, Professor of Neurology and Genomic Medicine, Imperial College, Dr Leonardo Bottolo, Reader in Statistics for Biomedicine, University of Cambridge, and Prof Guido Consonni, Professor of Statistics, Universita' Cattolica del Sacro Cuore, Milan, Italy.
The position is funded by the MRC Better Methods, Better Research panel and includes a generous travel and computing budget. The funds for this post are available initially for 3 years in the first instance.
As a Research Associate, you will have the opportunity to work on cutting-edge research and develop novel methodologies and software implementation tailored to single-cell sequencing data.
We are looking for a highly motivated and skilled individual who is passionate about Bayesian statistics and causal inference. If you are interested in this exciting opportunity, please submit your application.