The Chair of Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from understanding basic mechanisms governing gene expression to unraveling genetic aberrations triggering rare diseases and cancer. More at https://www.cs.cit.tum.de/cmm/home/.The projectEPIC is a 10-million Euro project funded for 6 years by the European Research Council under the ERC Synergy grant scheme. EPIC brings together 3 groups at the edge of complementary technologies – Vicente Pelechano (Karolinska Institute) for the development of high-throughput omics assays, Kevin Verstrepen (VIB-KU Leuven) for synthetic biology, and Julien Gagneur for the AI and bioinformatics. EPIC aims at deciphering the complete regulatory code, from chromatin to protein abundance, of the eukaryote S. cerevisiae. To this end, EPIC takes a unique strategy to study gene regulation by leveraging evolution. We will assay 100 fungal species spanning hundreds of millions of years across all layers of gene regulation and under different growth conditions. Moreover, EPIC will design nearly a million sequences to systematically test and refine our model of the regulatory code and eventually design genes and cells for biotechnological applications. Our research group will develop new AI modeling paradigms to learn from such multi-modal and multi-species data effectively. This will allow us to unravel complex regulatory instructions and their evolution, build predictive models, and design genes with intended regulation.

PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software developmentExperience with NGS data processing and modelingExperience with deep learning frameworks