The Bioinformatics Group RWTH Aachen University performs research on computational methods for analysis of epigenomics and transcriptomics data. Over the past years, we have developed methods for prediction of cell specific binding sites from open chromatin data (Gusmao et al., Bioinformatics, 2015; Nature Methods, 2016), inference of regulatory networks driving cell differentiation (Lin et al., NAR, 2015; Allhoff et al., Bioinformatics, 2015) and prediction of long noncoding RNA regulation via DNA-RNA interaction (Kalwa et al., NAR, 2016).
We invite applicants for a Phd Candidate/Postdoctoral position in one of the following topics:
1) Machine learning methods for the analysis of single cell epigenomics data.
2) Sequence analysis algorithms for detection of interactions of long non-coding RNAs with DNA.
Candidates will perform research on methods for analysis of single cell epigenomics and transcriptomics scATAC-Seq, scRNA-Seq and scBS-seq. These projects will be performed in collaboration with stem cell and medical specialists from the RWTH Aachen University.
Applicants should hold a M.Sc./Ph.D. in Bioinformatics or Computer Science. Experience in the analysis of biological sequences, regulatory genomics and/or machine learning is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Linux. Experience with high performance computing is a plus. The working language of the group is English.
The Bioinformatics Research Group (costalab.rwth-aachen.de) is supported by the Interdisciplinary Center for Clinical Research Aachen (IZKF) and hosted by the Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen University Hospital and the Helmholtz Institute for Biomedical Engineering, RWTH Aachen.