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Position: Research Fellow in Bayesian Statistics
Institution: University of Bristol
Location: Bristol, United Kingdom
Duties: Areas of research include: Gaussian Processes, general non-parametric Bayesian methods, MCMC, SMC and methods of scaling these up to handle large data-volume problems
Requirements: The successful applicant will have a PhD and/or significant research experience in at least one of: GPs, general non-parametric Bayesian methods, MCMC, SMC or other areas of relevance to the project aims and an ability to understand and develop efficient scalable computational algorithms and implementations. They will also be willing and able to rapidly develop forefront knowledge across a wide range of these research areas
   
Text: Research Fellow in Bayesian Statistics Areas of research include: Gaussian Processes, general non-parametric Bayesian methods, MCMC, SMC and methods of scaling these up to handle large data-volume problems The successful applicant will have a PhD and/or significant research experience in at least one of: GPs, general non-parametric Bayesian methods, MCMC, SMC or other areas of relevance to the project aims and an ability to understand and develop efficient scalable computational algorithms and implementations. They will also be willing and able to rapidly develop forefront knowledge across a wide range of these research areas
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