PhD (all gender) - Department of Nephrology and the Else Kroener-Fresenius Center for Nephrological Research

Processing, quality control and analysis of scRNA-seq, scATAC-seq and spatial transcriptomics datasets Implementation and adaptation of machine-learning and AI methods for cell type identification, trajectory inference and regulatory network analysis Integration of multi-omics data (e.g. genomics, transcriptomics, epigenomics) with large-scale cohorts such as UK Biobank Collaboration with experimental and clinical researchers to define hypotheses and interpret results in a biological and clinical context Presentation of results within the working group, at seminars and conferences Writing of a PhD thesis and contribution to scientific publications Very good command of English (spoken and written); German is an advantage but not required Very good command of English (spoken and written); German is an advantage but not required High motivation, ability to work independently as well as in an interdisciplinary team, good organizational and communication skills Due to legal regulations, valid proof of measles immunity / measles vaccination is required.