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, quantitative mass spectrometry, structural proteomics, and structural biology. Today, the research group consists of one PhD student and master’s students. The broader research constellation that the group is
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machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive models and digital decision-support
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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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of the contact activation system. Education or documented training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Education or documented training in
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neuronal connectivity in the brain. With live cell imaging, genetic perturbation, and transcriptomics (in collaboration: proteomics) we derive mechanistic insight into how ciliary signaling translates