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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell
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Sciences, Pedagogics or a related discipline. You have strong analytical skills and experience with complex quantitative analytical methods (e.g. multilevel and/or structural equation models). You are
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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
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it increasingly possible to treat these conditions.' Anique Bellos-Grob, recipient of the 2023 KNAW Early Career Award Subject areas All disciplines within the Domains: Behavioural Sciences, Social Sciences and Law