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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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8 Oct 2025 Job Information Organisation/Company École Polytechnique Fédérale de Lausanne (EPFL) Department School of Architecture, Civil and Environmental Engineering (ENAC) Research Field
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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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lasting for 36 months. SPACER aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling affordable and durable long
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lasting for 36 months. SPACER aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling affordable and durable long
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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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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