Phd Candidate/Postdoctoral position in Single Cell Computational Epigenomics

Phd Candidate/Postdoctoral position in Single Cell Computational Epigenomics

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. Interested candidates should send a brief statement of research interests, CV and the names of three references to

RWTH Aachen is one of the members of the German Excellence Initiative and one of the leading technical universities in Europe. It is located at the Euroregio tri-border region neighboring Netherlands and Belgium, which provides unique life and work opportunities. We particularly welcome and encourage applications from women, disabled people and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.

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