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interactions and their integration with wider energy networks. Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture
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the interaction in transient state between tribological and thermal properties in textiles by in-situ 3D and 4D microCT Design and execution of tribological, thermal, optical (IR) and mechanical tests on different
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components and nucleic acids interact and self-assemble. Apply data analysis and modeling to deepen understanding of nanoparticle architectures, and contribute to standardization-relevant method development
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, interact with the other 4 PhD students of the project at ETHZ and TU Delft, and use state of the art methods such as Nanoindentation, Raman Spectroscopy, Digital Light Processing, Two-Photon Lithography