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with advanced laboratory infrastructure, the candidate will have a unique opportunity to develop her/his research abilities. Your workplace Your workplace We offer ETH Zurich is a family-friendly
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nonlinear elasticity to perform computations using ambient energy Develop efficient simulation algorithms capable of tackling complex devices consisting of thousands of parts Conducting table-top experiments
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Professor Dr. Rama Gottfried at the Institute of Computer Music and Sound Technology (ICST) at the Zurich University of the Arts (ZHdK). Project background The project aims to develop theoretical and
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enthusiastic, creative and self-motivated Your workplace Your workplace We offer Through this project you will develop and improve your experimental skills, for time-resolved measurements at low temperature and
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precision and minimal interruptions throughout a life cycle. Incorporating predictive models and advanced control using data opens up exciting new possibilities in this domain. Our research aims to develop
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computer science and applied mathematics to develop state-of-the art generative machine learning models to design improved catalysts for these reactions. Your profile We are looking for a committed and motivated
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-ecological systems in littoral areas, water security and critical physical infrastructure. The general objective is to develop a framework for the co-design of regenerative solutions for the built environment
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to teaching within the group. This project contains aspects of cell biology, mechanobiology, biophysics, molecular biosciences, and cell substrate engineering. Throughout the PhD, you will gain expertise in
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technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE, ETH Zürich) is looking for a candidate to fill a PhD position to develop catalysts for the conversion ofCO2