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Posted on : 15 April 2017
To decipher gene regulatory networks using machine learning and single-cell (epi)genomicsThe Laboratory of Computational Biology (Stein Aerts lab) at the VIB Center for Brain and Disease Research, and the KU Leuven Center for Human Genetics, is seeking a highly motivated Postdoc to study gene regulatory networks and the genomic regulatory code. Your goal will be to identify and model enhancers and promoters underlying cellular state transitions, by combining high-throughput transcriptomics and epigenomics data, including single-cell RNA-seq and single-cell ATAC-seq data generated in our lab. As model systems you can use human, mouse and Drosophila, with a focus on the adult brain (ageing, neuro-degeneration) and cancer (therapy resistance). You will furthermore capitalize on recently developed technologies in the lab, including massively parallel enhancer-reporter assays, droplet microfluidics, single-cell chromatin accessibility assays, epigenomic profiling across inbred lines, and advanced machine learning, including deep learning. Depending on your background and interests, you can also perform wet-lab experiments, including the design and testing of synthetic enhancer sequences. For additional information concerning this job please contact Prof Stein Aerts Information on the laboratory: http://www.aertslab.org Postdocs Leuven Motivated candidates are asked to apply online. Additional requirements: Please submit a full CV and motivation letter. The coordinates of at least 2 references should be mentioned. We are seeking a highly motivated computational biologist.
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