Bayesian inference

PhD position in computational systems biology

August 15, 2020

Uncertainty is encountered in every aspect of biochemical network modeling: intracellular noise leads to cellular heterogeneity, low-quality experimental data lead to parametric uncertainties, while incomplete mechanistic knowledge results in structural ambiguities in models. Consequently, model predictions typically display large variability that complicates further inference and analysis steps. Our group is currently developing computationally efficient methods […]

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