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in OP-MEG and Bayesian computations. This role offers you the chance to collaborate with leading researchers, mentor students, and shape the future of cognitive neuroscience through innovative research
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have recently demonstrated its use in a Bayesian framework for evaluating South American methane emissions. In this role, you will continue the development of GATES under two grants from the Natural
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-2392 ). We have recently demonstrated its use in a Bayesian framework for evaluating South American methane emissions. In this role, you will continue the development of GATES under two grants from
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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differences. Then you will use diagnosed processes to build reduced-order models and constrain model parameters using historical instrumental and palaeo-proxy records via Bayesian methods. The successful
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to address more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
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journals; the development of research objectives, projects and proposals; presentations at conferences and other events; working collaboratively and supervising the work of others; and identifying sources
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. Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply. Candidates should be able to programme in a high-level language for data analysis such as R, STAN or MatLab