Posdoctoral Position / Graph algorithms for multimodal data analysis and integration
The Institute of Computational Genomics invite applications of highly motivated individuals for a Posdoctoral position (m/f/d) in graph algorithms for multimodal data analysis and integration. The researcher will develop graph-based methods for analysis and comparison of multi-omic data that can integrate data across multiple modalities and samples measured in distinct individuals. These methods will be used in the analysis of unique multi-omic data set on myocardial infarction and kidney diseases to detect early events of disease development and organ failure. The project will be performed in close collaboration with Michael Schaub (Computational Network Science) and Christoph Kuppe (Quantitative Cell Dynamics and Systems Biology) from the RWTH Aachen.
Candidates should have a Ph.D. in bioinformatics/computer science and previous experience in single cell sequencing, clustering and statistical machine learning or related approaches. The salary is according to German public service salary scale level TV-L 13 100% and initially limited to 3 years with possibility of extension. Willingness for teamwork and the ability to work independently in a competitive international environment are required. Good skills of English are expected.
Please send your documents including a curriculum vitae, a letter of motivation, all academic certificates and 2-3 references by email to firstname.lastname@example.org