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Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal
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are essential for controlling the highly dynamic power flow. For pushing the efficiency and power density limits of these SSTs you will develop multi-physics models of transformers, which describe not only
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Basel, fixed-term We develop technologies to exploit whole cell and enzyme catalysts for manufacturing of substances for applications in fields such as sustainable chemistry, innovative food
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joint disease. Our overarching goal is to identify and target novel molecular mechanisms underlying inflammation and tissue degeneration, with the long-term objective of developing novel disease-modifying
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have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
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. Roman Zweifel) and CzechGlobe on Innovative technologies cross scales to disentangle carbon dioxide and evapotranspiration fluxes of forests (INETFLUX ). We aim to develop and validate new approaches
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Laboratory (AML) at ETH Zurich the following position in the field of laser ablation and technical project coordination. Project background Our research group develops and applies pulsed laser technologies
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the world, we work together to develop solutions for the global challenges of today and tomorrow.
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and innovations directly into practice. The Laboratory of Energy Science and Engineering (D-MAVT) is working actively on developing numerical and experimental tools to probe single- and multiphase