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as opportunities allow. We are looking for a post-doctoral researcher to join a research project which brings the Active Inference perspective to the study of human computer interaction. This requires
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/2023.11.14.566863. Developing and applying hierarchical Bayesian models to cognitive processes Supervisor: Dr Martin Lages Project aims: New variants of hierarchical Bayesian models of cognitive processes can be
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focused on estimation of parameters relevant to dynamics and control using innovative statistical methodologies. The advent of new sequencing technologies will revolutionise the way we study epidemiology
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Virol 69, 96-100 (2015). C. Mair et al., Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. PLoS Comput Biol 15, e1007492 (2019). Overview Overview