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from space missions to understand the processes and timescales of formation of the Solar System and planets. Development of new geochemical tracers and mass spectrometry techniques with applications
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: This PhD thesis project is integrated into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates
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groups in Mainz (Schweiger lab) and Basel (Keller Valsecchi lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with
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coordinate during development and how their dysregulation contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will
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, and dysregulation of R-loop processing is associated with cancer and neurodegenerative diseases. We have developed an unbiased mass spectrometry-based proteomics approach to identify proteins
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to train creative, responsible and self-confident young researchers. As member of the German Research Foundation (DFG)-funded Research Training Group (RTG) 3096 “One Health Approach to Soil-Transmitted
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on transforming nitrogen pollutants from water and air into valuable ammonia. This project offers the chance to be at the forefront of sustainable chemistry by developing cost-effective and efficient catalysts
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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molecular components, including maternal mRNAs. These messages regulate protein production and guide early development before the embryo takes control of its own gene expression. But timing is crucial
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design of more balanced datasets of structurally resolved modes of binding to train the next generation of artificial intelligence (AI)-based structure prediction tools. PhD Project: AI-assisted protein