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energy generation, high-tech systems, electric vehicles, industrial automation and more. At EPE Group, we are building a strong research line on the reliability and resilience of power electronics systems
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structures in collaboration with local partners; · Leading baseline (Before) and follow-up (After) monitoring campaigns using: o Wave and sediment sensors, o LIDAR and acoustic mapping, o
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. You will be part of the Mathematics of Imaging & AI chair , which has ample expertise in the development of reliable and robust deep learning methods with clinical impact. The project is highly
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development measures and structured career parameters, such as: Successful candidates will be offered a postdoctoral position at one of the participating institutes. The postdoctoral positions within
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of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners
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the natural product structural classes have not yet been fully characterized. Similarly, most metabolites observed in mass-spectrometric data cannot be fully dereplicated. The key question we seek to answer in
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the opportunity to translate AI innovations directly into patient care. You will be part of the Mathematics of Imaging & AI chair , which has ample expertise in the development of reliable and robust
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the natural product structural classes have not yet been fully characterized. Similarly, most metabolites observed in mass-spectrometric data cannot be fully dereplicated. The key question we seek to answer in
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the availability and reliability of critical and complex high-tech systems, like machines used in the semiconductor industry or industrial printing machines, intelligent diagnostics to identify faults is of crucial
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. Your work may involve formulating new models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance.