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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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expertise to strengthen CTN+ research: · Dr. Shirin Golchi (McGill University) – A biostatistician specializing in adaptive clinical trial design and Bayesian modeling, with experience across multiple
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