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FERNS (Holistic integration of eco-Friendly dEsign tools and mateRials, fabrication techNologies for the responsible co-creation of future Sustainable integrated electronic systems), an EU MCSA Doctoral
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PhD research will focus on characterizing and optimizing architectured fabrics and textiles using 3D micro tomography as a main tool to investigate tribological and thermal properties of different
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and textiles, in order to identify application fields with high environmental sustainability potentials. This PhD position is part of the project FERNS (Holistic integration of eco-Friendly dEsign tools
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heating and cooling, storage, and local electricity grids. A key goal is to translate methodological innovations in deep learning into practical tools for sustainable urban energy systems, supporting
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deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be
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analytical tools such as small-angle X-ray scattering (SAXS) and fluorescence cross-correlation spectroscopy (FCCS). Our goal is to bring quantitative insights into how soft-matter systems self-assemble and