-
of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are particularly interested in
-
well as integration of carbon cycling data with complementary ecophysiology and/or soils data from the sites. Field visits to the site are not essential, but are possible if they can be explicitly motivated
-
research program in synergy with the multidisciplinary research environments in which MIMS is integrated, contribute actively to the DDLS program and participate in joint activities that promote research and