6 algorithm-development-"St"-"St" positions at International PhD Programme (IPP) Mainz
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and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
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into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates into excellence at the frontiers of basic and
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bystander cells and the resulting activation and induction of type 2 immune responses are incompletely understood. Thus, treatment approaches to stop the development of type 2 immunity are lacking, as are
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associated with cancer and neurodegenerative diseases. We have developed an unbiased mass spectrometry-based proteomics approach to identify proteins that regulate R-loops in human cells and discovered a role
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. Understanding type 3 dendritic cells biology in the context of health and disease will allow us to develop targeted therapeutic strategies aimed at modulating their activity for improved clinical outcomes. PhD
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. megakaryocytes, mesenchymal stromal cells or endothelial cells) that contribute to the aging of the hematopoietic system. Ultimately, the long-term goal will be to identify targets for the development