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quantitative data analysis and relevant scientific software or programming languages Experience in diagnosing methodological, instrumental problems and developing robust solutions Scientific independence
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epigenomic data analysis or gene regulatory network inference Ability to work independently and collaboratively in a multidisciplinary environment Excellent written and spoken English skills What we offer
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development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and developmental biology Optional previous experience with epigenomic data analysis
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) Interest and ideally experience in microbiome omics (16S/shotgun; analysis or interface expertise), ideally knowledge in bioinformatic pipelines Solid experimental design and data analysis skills (R/Python
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focus on the genetic and epigenetic molecular pathogenesis of pediatric T-cell leukemia (T-ALL). One particular emphasis will be on the multi-omic wet- and dry-lab analysis of clonal and subclonal genomic
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at the interface of computational biology, functional assays and clinical translation Contribute to shaping data-driven precision medicine strategies in neuro-onolocgy Your Profile PhD in computational biology