CompCancer is a PhD programme (DFG funded research training group) that focusses on computational aspects of cancer research. Contemporary cancer research generates enormous data sets characterising tumours at unprecedented molecular details. To integrate and interpret these new layers of data, computational methods are becoming central to cancer research. Increasingly, computational methods are also required for clinical oncology, as more and more patients are receiving therapies based on integrated molecular profiles.
Within this graduate programme, research groups of the Charité, the Humboldt University Berlin, the Max Delbrück Center and the Max Planck Institute for Molecular Genetics work together to train the next generation of researchers to become experts in computational biology and gain an expert understanding of cancer biology and its translational aspects. Research focusses on computational methods, such as modelling, data integration, and single cell analysis methods, to address problems related to personalized and advanced therapies, tumour heterogeneity and therapy resistance.
We are looking for outstanding candidates with a Masters degree and a computational background that have a strong passion for developing and applying computational methods important for cancer research. You either have a degree in areas of computer sciences, physics or mathematics and you ideally had contact with life sciences, or you have a degree in the life sciences and have a strong interest in computing or mathematics.
Prof. Dr. Ulf Leser
Charité - Universitätsmedizin Berlin
Institut für Pathologie