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Neural Networks. The group combines expertise in stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as
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survival data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, health economics, survey design, systematic reviews
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project, including the host department, PhD programme, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian
Searches related to bayesian inference
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