Chronic kidney disease (CKD) affects ~10% of the global population. CKD is among the few non-communicable diseases that show a globally increasing trend in premature mortality. In Europe, CKD-associated costs are 140 billion euros/year, exceeding diabetes and cancer. The course of CKD progression can be substantially modified by timely intervention. However, early detection of kidney damage is currently suboptimal. The aim of this project, funded by a prestigious European Research Council (ERC)-consolidator grant, is to develop new methods for earlier and more accurate detection of kidney damage. We have various large and well-characterized cohorts of kidney patients and healthy individuals. Using transcriptomics, proteomics and metabolomics data, we will develop novel algorithms to identify those at risk of developing kidney damage. For this project we are searching for one PhD student.