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external partners Conduct CRISPRi-based pathway perturbation assays Analyze and interpret complex molecular datasets in close collaboration with bioinformatic experts Contribute to scientific publishing and
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: Data Mining Machine Learning Bioinformatics The successful candidate will contribute to advancing state-of-the-art in data mining and machine learning research with applications in computational biology
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), statistics (extreme value theory, time series, functional data analysis, multivariate analysis), and bioinformatics (biological networks, multi-omics data). We are interested in both, fundamental research and
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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bioinformatics A stimulating, inclusive, and international research environment with structured mentoring and career development support Competitive salary and social benefits according to the collective agreement