PhD (m/f/d) Full-time or part-time | limited (48 months) | Clinic and Polyclinic for Internal Medicine II Modeling cell-cell interactions and their dynamics in pancreatitis and pancreatic cancer. Our research focuses on unraveling the cell-cell interaction landscape during inflammatory diseases and carcinogenesis using spatiotemporal mathematical models that leverage the unprecedented high resolution achieved with transcriptomics and proteomics techniques. Specifically, we are interested in identifying cell-cell interactions during pancreatitis and pancreatic cancer using a targeted spatial transcriptomics approach. In addition, we aim to verify those findings functionally and mechanistically with various molecular biology assays using a broad range of in vitro and in vivo platforms, including genetically engineered 2D/3D cell, organoid, mouse models, and human specimens. Ultimately, we aim to identify clinically relevant findings that can be leveraged to develop novel targeted therapies to improve patient-s burdens and outcomes. We are looking for a talented scientist driven by the desire to make a relevant contribution to the pancreatitis and pancreatic cancer field by discovering significant findings in the lab. Knowledge of cancer genomics, proteomics, single cell RNAseq, spatial transcriptomic and molecular cell biology are recommended. Prior research experience in Computational platforms: scanpy & scverse, spatial omics data structure: “spatialdata“, spatial omics analysis framework “squidpy-, NCEM deep representation learning of cellular variation, mapping and modeling of perturbations are beneficial. The ability to drive projects at a high degree of excitement are encouraged. The position requires a master degree in a relevant field, such as computational science, bioinformatics, biology. A varied and professionally demanding position in a state-of-the-art working environment Comprehensive on-the-job training provided by experienced and qualified colleagues The opportunity to take part in internal and external professional development courses A good work-life balance with flexitime and 38.5 weekly working hours, 30 holidays per year and options for childcare An opportunity to work in two exciting research institutions: at the Klinikum rechts der Isar in the city centre of Munich on Max -Weber-Platz and at the Helmholtz Center in Neuherberg, both places with good access to public transport systems and benefits in the form of specially discounted public transport tickets (Job ticket) You may be entitled to a special allowance to make up for the higher cost of living in Munich (“Ballungsraumzulage-) Employee saving schemes and company pension system Employee perks, such as.discounts, canteen, sports activities or cultural activities Attractive free time offers such as university sports or singing classes Individual support offered by our conflict management or clinical pastoral care Health support such as health check-ups or vaccinations If the candidates- suitability for the position in question is equal, severely disabled applicants shall be given preference.