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Field
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situ infrared spectroscopy to connect molecular reactions, peptide self-assembly and macroscopic sealing. Develop smart materials that sense danger and seal themselves We are looking for a PhD candidate
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time. You will combine porous-material synthesis, thin-film preparation and in situ infrared spectroscopy to connect molecular reactions, peptide self-assembly and macroscopic sealing. Develop smart
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the adaptive properties of peptide-coated MOFs (e.g. breathability, aggregation, chemical reactions) and derive design rules to guide experimental testing. Develop smart materials that sense danger and seal
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motivated candidate to work on a research project focused on the development of a smart acoustic sensing system. The researcher will be employed at UP IAM and become a doctoral candidate at the University
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development of photonic microsystems, related technologies including nanoelectronics and wireless communication...
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competitiveness, quality assurance, and sustainability targets along with greater variations being introduced into the process mean that new approaches are required. To transition into an era of smart steel
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implementation of your research outcomes. The supervisory team consists of Prof. Zili Li and Prof. Rolf Dollevoet. The Department of Engineering Structures focuses on the development of resilient, smart and
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a complementary approach: smart glasses that use wearable AI to interpret visible lip and facial movements and convert them into audible speech. The aim is not only to improve technical recognition
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. The Department of Engineering Structures focuses on the development of resilient, smart and sustainable structures and infrastructures. Our aim is to meet societal demands in transportation, the energy transition
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of generative AI and foundation model approaches for smart grids and energy systems Generation of synthetic yet realistic energy datasets based on real operational data from the FZJ campus and Living Lab Energy