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insights beyond conventional techno-economic approaches. Your tasks The focus of this research is to advance energy system models by systematically embedding Social Sciences and Humanities (SSH) aspects
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of nanoparticles for healthcare and industrial applications. As a PhD candidate, you will: Develop and refine SAXS and FCCS methods to quantify size, concentration, density and internal structure of diverse
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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well as the disassembly or reassembly of the materials into new composite structures. We envision that the generated knowledge will advance the field of bio-based and sustainable material technologies and contribute to new
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associated with treating bone fractures are escalating rapidly. This growing demand underscores the critical need for advanced medical implants that provide effective, long-lasting solutions to support bone
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
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engineering applications. Empa's Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences. This is a joint PhD
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interdisciplinary project will be conducted in collaboration with several Swiss hospitals, offering a potential translation of scientific advancements into practical applications. Your tasks The PhD research will