For more information please contact Prof. dr. Bernard Thienpont, tel.: +32 16 37 32 08, mail: email@example.com.
You can apply for this job no later than February 24, 2019 via the online application tool
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The Laboratory for Functional Epigenetics is looking for a Post-doc to join our team to investigate the role of the epigenome in controlling transcriptional heterogeneity.
We are a young and dynamic lab that is part of KU Leuven, Belgium’s highest-ranked university. The KU Leuven is a leading European research university, which for 3 consecutive years already ranks first in Europe in terms of innovation (Reuters). During your stay, you will be embedded in a team of local experts on single cell analyses, as we are part of the SymBioSys network aiming to advance computational methods in single cell analyses, and of the Leuven Cell Center, which joins research capabilities of several labs with a major focus on applications of single cell omics technologies. As a research unit flanking Belgium’s biggest hospital, we have several ongoing collaborations with clinicians for patient sample procurement, to maximize potential clinical impact.
The Laboratory for Functional Epigenetics is looking for a Post-doc to join our team to investigate the role of the epigenome in controlling transcriptional heterogeneity. Cellular heterogeneity is a key aspect of physiology and affects the occurrence and progression of diseases such as cancer. The biological mechanisms underlying cellular variability and heterogeneity have remained vastly underexplored. This is at least partly because heterogeneity is often obscured in bulk cell omics analyses. The advent of single cell omics technologies, however, has opened up exciting new opportunities to study heterogeneity at the cellular level, the fundamental unit of biology.
In our quest to understand the role of the epigenome in controlling cellular heterogeneity, we are looking for a researcher eager to establish novel computational methods. You will develop bio-informatic pipelines and tools aimed at quantifying heterogeneity in single cell omics datasets. The latter includes transcriptomic, epigenomic and open chromatin analyses of tumours, as well as multi-omic combinations thereof. You will also help in project and manuscript drafting, and apply for independent funding. We can offer cross-training in both computational and experimental work, according to your needs and interests.