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Field
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pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing domain experts’ beliefs
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pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing domain experts’ beliefs
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for drug discovery. This project will focus on representing and inferring chemical or biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a
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for drug discovery. This project will focus on representing and inferring chemical or biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a
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, Finance & Digital Services Workplace Inclusion Join Our Talent Network Sign in as Casual / External / View Profile U of T Employee Sign In Home Current Opportunities All Opportunities Staff Opportunities
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invites applications for a Senior Research Fellow to help lead a vibrant, internationally connected research programme spanning Bayesian infectious disease modelling, AI-driven epidemic forecasting, genomic
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learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior knowledge into the data analysis, including both device physics and material properties. We are primarily
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parliamentary debate, news media and social platforms; Three-wave panel surveys with embedded, pre-registered survey experiments, combined with Dynamic Bayesian Network (DBN) modelling to map the causal
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/comjnl/bxm117 D. L. Dowe (2011a), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness", Handbook of the Philosophy of Science - (HPS Volume 7) Philosophy of
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/comjnl/bxm117 D. L. Dowe (2011a), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness", Handbook of the Philosophy of Science - (HPS Volume 7) Philosophy of