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to characterize developmental patterns from multi-omics data Developing and parameterizing mechanistic mathematical models describing microbiome-immune dynamics Applying Bayesian inference and model fitting
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(Bayesian) phylodynamics. A Master degree in computer science, bioinformatics, or a related field. Interest in working with an interdisciplinary and international team. We value an open and inclusive group
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recognized expertise in advanced statistical design—such as Bayesian adaptive trials and model-based decision-making—and bring a forward-thinking interest in AI/ML and real-world data applications. You are a
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