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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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. Together with our partners in healthcare and biomedicine, we will apply the developed methods to detect cancer from cell and tissue samples as early as possible and to individually predict which treatment is
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
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-cell findings with existing WGS, bulk RNA-seq, plasma proteomics, epigenomic and metagenomic data from the same patients to identify prognostic and predictive biomarkers Duties Specific research duties
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they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale