Postdoc position: Regulatory Genomics and cis-Regulatory Variation The Laboratory of Computational Biology, within the Center for Human Genetics - University of Leuven, is seeking a highly motivated and experienced postdoctoral researcher to apply integrative genomics, computational models, and next-generation sequencing to further our understanding of genome regulation and chromatin conformation. You will develop computational approaches and work in close collaboration with the wet-lab, performing high-throughput experiments using RNA-Seq, ChIP-Seq, damID-Seq, DHS-Seq, FAIRE-Seq, and 4C-Seq/HiC. You will apply these methods to various systems, including eye development across Drosophila species, and different tumor types (melanoma, leukemia). The challenge is to integrate these data with computational predictions of cis-regulatory modules, and with publicly available data from (mod)ENCODE and TCGA, to ultimately characterize cis-regulatory changes that underlie morphological changes (Drosophila data) or that drive oncogenesis (cancer data). Qualifications: PhD degree in Life sciences or computational field Proven track record of high-impact publications in the field of computational biology, analysis of high-throughput data sets, data integration Solid experience with bioinformatics programming and statistics for bioinformatics, including scripting (e.g., Python), R (incl. Bioconductor), UCSC Genome Browser, Ensembl API, etc. Experience with pathway analysis and cis-regulatory sequence analysis is a plus. Thorough understanding of molecular and developmental biology, expertise on cancer biology is a plus. Experience with software development and object-oriented programming (e.g., Java) is a plus. Experience with data mining and machine learning is a plus. Experience with the analysis of next-generation sequence data is a plus: whole exome re-sequencing, whole-genome re-sequencing, SNP/indel calling, CNV, Structural variation; RNA-Seq, ChIP-Seq Links: The Laboratory of Computational Biology Center for Human Genetics University of Leuven Highly motivated candidates can apply by sending a motivation letter, names and contact information for at least two references, publication list, and CV to stein.aerts@med.kuleuven.be.