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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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these micropollutants, per- and polyfluoroalkyl substances (PFAS) are of particular concern. Like microplastics, PFAS are highly persistent, mobile, and widely distributed, even in remote areas. Both substance groups
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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cannot be used for participation in degree programmes which do not meet this requirement. Information on the quantitative distribution of CP can be found in the module overview of the degree programmes
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education institution. Every year about 1,500 young people from all over the world are given the opportunity to study abroad with the Baden-Württemberg-STIPENDIUM. Scholarships are equally distributed between