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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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regulating cardiac immunometabolism during myocardial infarction. However, the effect of cardiocrine signaling in these processes remains unclear. This project aims to unravel the role of interferon signaling
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/or QGIS) Very good English language skills, both written and spoken Basic knowledge of the German language or the willingness to acquire it for the purpose of knowledge transfer Openness, creativity
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