9 bayesian-inference-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at University of Glasgow
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of current issues and future directions within the field of Active Inference, control theory or Bayesian inference. B7 Experience with building computational models of human users in an interaction setting. B8
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Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques, prior distributions and posterior predictive checks, model comparison
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wild and domestic animal populations wildlife diseases and conservation network analysis of disease spread phylodynamics model-based statistical inference using Bayesian approaches vector biology
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evolutionary inference, contextualising virus mutations and associated variants phenotypically with the purpose of predicting future evolutionary trajectories for viruses of pandemic potential and of strategic
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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). Option B: Create
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university in Scotland. Our research interests cover a wide range of topics, with our AI3 initiative, of analytics and inference innovation for impact, aiming to create a world-class environment for research
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and biases. Our Indicative Data Science project looks at developing solutions based on the mindset that considers the bias, missingness, or low quality as a useful source of data to make inference about
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Synthetic cell implementation and control using nano-technology Modelling & robustness analysis of large-scale stochastic biomolecular networks Biomolecular network inferring Human control systems More
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living costs before applying. Glacial sampling in Greenland (credit: Karen Cameron) Self funded MSc by Research projects Holocene paleoclimate changes inferred from lipid biomarkers and geochemical