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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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quantification, including Bayesian approaches and stochastic methods. Advanced knowledge of sequential and time-series modelling frameworks, including state-space models and modern deep learning approaches
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