Postdoctoral position in Computational Genomics and Transcriptional Regulation (Copenhagen, Denmark) : Copenhagen, Denmark 

A 2-years postdoctoral position in Computational Genomics and Transcriptional Regulation is available for a highly motivated candidate in the lab of Dr. Robin Andersson in the Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Denmark. The successful candidate is expected to start on July/August 2015 or shortly thereafter.

Description

Context The Andersson lab is a newly started research group funded by the European Research Council (Horizon 2020). The group focuses on genomics and computational/statistical modeling of transcriptional regulation based on large-scale sequencing data, including experimental data generated from within the lab and data from the FANTOM consortium. We aim to characterize and better understand the architectures and complexities of transcriptional regulation (see e.g. Andersson et al. 2014, Nature, http://dx.doi.org/10.1038/nature12787) and gain insights into the mechanisms of regulation. We further focus on the fundamental properties of enhancers and promoters (see Andersson 2015, BioEssays, http://dx.doi.org/10.1002/bies.201400162) as well as the biogenesis and characteristics of enhancer RNAs (see e.g. Andersson et al. 2014, Nat Comms, http://dx.doi.org/10.1038/ncomms6336). For more information, see http://anderssonlab.org. The lab is based in a highly collaborative environment in the Bioinformatics Centre in the Section for Computational and RNA Biology, which is currently composed of 11 strong research groups. The Department of Biology is located at the Biocenter in central Copenhagen, Denmark. Projects The successful candidate is expected to work on projects related, but not limited, to 1) computational modeling of enhancer regulation and genome-wide mapping of enhancer architectures; 2) systematical characterization of these architectures based on large-sale sequencing data and sequence analysis in order to understand what determines their spatio-temporal activity; and 3) assessment of the extent and impact of individual variation and genetic variants in regulatory architectures in order to understand their importance, stochasticity and robustness. Qualifications The successful postdoc candidate should have a strong computational and/or statistical background and be capable of analyzing large-scale data. Experiences with DNA or RNA sequencing data, computational modeling, machine learning and/or statistical learning techniques are considered a major plus. Importantly, the candidate should have a strong interest in transcription and transcriptional regulation. Specifically, the candidate should meet the following requirements: · a PhD in Bioinformatics, Computational Biology or in a related quantitative field to be able to quickly acquire Bioinformatics computational skills · strong programming and data analytical skills · fluent English The following are not required but considered a plus: · documented experience in analyzing high-throughput sequencing data · documented expertise in statistical learning and/or machine learning techniques The deadline for the application deadline is May 26, 2015. ~~