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, evolutionary theory, quantitative genetics, data science, toxicology, and law. Within this project, our group at the CRG focuses on the analysis of bulk and single cell RNA-seq from five different model species
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interested in pursuing a PhD, to explore the evolution of eukaryotic chromatin states and components. We are looking for enthusiastic candidates broadly interested in evolutionary biology, gene regulation and
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, in particular). Our lab is generating large-scale, state-of-the-art gut metagenomics data for thousands of genetically heterogeneous laboratory rats whose gut metabolome and behaviour have previously
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is highly advantageous Education and training You hold a PhD (or equivalent experience) in statistical genetics, genome or epigenome data analysis, or related fields Languages You are fluent in English
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, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects
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transcriptomics data analysis Experience working in Unix/Linux environments Experience in R statistical language Desirable but not required/ Nice to have Hands-on experience in basic molecular biology Hands
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project IMPaCT-Data. In this role, you will be instrumental in shaping the backend architecture of our applications, developing new features, and creating innovative services that drive our projects forward
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the analysis of DNA sequencing data derived from a unique cohort of neuroendocrine lung tumors and their precursors. Responsibilities will include calling mutations from DNA sequencing experiments and conducting