...you're in the middle of it
The Department of Nephrology and Else Kroener-Fresenius Center provides excellent facilities to conduct interdisciplinary research in the field of Nephrology and Cardiovascular biology. We offer an attractive surrounding for modern science in molecular medicine, systems biology and data science.
It is embedded in the excellence cluster Cardio-Pulmonary Institute (CPI), the Deutsche Zentrum für Herz-Kreislauf-Forschung (DZHK) and the CRC TRR 219 and provides access to state-of-the-art omics platforms, high-performance computing infrastructure and comprehensive training opportunities.
If you have finished your PhD and if you are highly motivated to contribute to the understanding of the mechanisms leading cardiovascular disease in patients with kidney injury, apply now at the Department of Nephrology and the Else Kroener-Fresenius Center for Nephrological Research!
Your Role:
We aim to study the role of the hematopoietic system as a hub between cardiovascular and kidney diseases by leveraging large-scale multi-omics and clinical data. You will work at the interface of single-cell omics, spatial transcriptomics, AI-based modelling and population-scale datasets to identify mechanisms driving cardiovascular complications in kidney disease.
- Analysis and integration of single-cell RNA-seq (scRNA-seq), single-cell ATAC-seq (scATAC-seq) and spatial transcriptomics datasets
- Development and application of AI- / machine-learning–based models (e.g. deep learning, representation learning) to dissect cellular states, trajectories and regulatory networks
- Integration of large-scale population and biobank datasets (e.g. UK Biobank) with multi-omics data to identify risk profiles, molecular signatures and causal pathways
- Close collaboration with experimental and clinical researchers to generate and test mechanistic hypotheses
- Preparation of scientific manuscripts and presentation of results at national and international conferences
- Contribution to supervision and mentoring of students (Master/PhD) in the field of bioinformatics and computational biology




