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, metabolomics, 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
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causing diabetes mellitus, 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
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remain healthy for many years or why their health eventually declines with advanced age. World-wide data show that more than 25% of female fertility problems are unexplained, pointing to a huge gap in our
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/ Nice to have You have experience with advanced bioinformatic tools (e.g. Python/R, omics data analysis) Education and training A Ph.D. in a relevant field of study and/or candidates with no more than one