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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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quantum systems, collaborating with top-tier researchers in chemical synthesis, analytical method development, and atomistic simulations. Located in the Zurich Area, the Swiss Federal Laboratories
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