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the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly
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of antibiotic concentrations with high spatial and temporal resolution at the site of bacterial infections (bioRxiv manuscript 2026 ). However, using the method we used in our previous study, we could only obtain
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function. Through application of these methods to clinically relevant biological material, we aim to mechanistically dissect the role of DNA damage in aging and disease. Job description A PhD position is
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to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces of life (biosignatures) – whether through remote sensing or direct on-site
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curious, careful, and motivated by experimental research. You enjoy working with complex geochemical systems and are excited by the challenge of developing new methods and datasets. An MSc degree in
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-tuning, or related optimization methods. Experience with cloud infrastructure, MLOps or LLMOps, containerization, or production deployment. Frontend and/or backend development skills. We offer ETH Zurich