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description The specific subject of the research position is to study vector bundles with singular metrics, in particular in connection with L2-methods. This is nowadays standard techniques for line bundles
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metabolomics, dietary biomarkers, micronutrient metal nutrition, nutritional immunology, marine food science, plant based foods and nutrition as well as food by-product biorefining and protein technology. The
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efficiency through advanced control methods. We work in close collaboration with industry, research institutes, and other academic groups, often in interdisciplinary constellations. Within the group
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Plating This project explores how plating the cavity around a distributed Al/Si superconducting resonator with a superconducting metal affects the Q-factor of the resonator. Achieving high-Q is a key
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to deliver robust, explainable control methods that can be applied in real-world scenarios. As a postdoc, you will also contribute to the academic environment through co-supervision of students, publication
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program Data-driven life science uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures to human health and global
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consider automation engineering a key enabler for developing methods and applications that leverage the digitalization of society, emphasizing social, economic, and environmental sustainability. As Assistant
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for smart port infrastructure. Key tasks include: Developing a multi-layer modeling architecture using AADL and Modelica/FMI. Designing resilience metrics and assessment methods for cyber-physical energy