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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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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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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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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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of 1D moiré systems to develop novel device architectures to advance our understanding of strongly correlated quantum systems. The central goal is to fabricate quantum devices hosting heterostructures
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design, synthesize, and characterize hydrogel-ceramic nanocomposites and architectured metamaterials for bone replacement. During the course of the project, you will work in a multidisciplinary team