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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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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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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
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doctoral student to investigate and develop methods which target energy system design and operation jointly. To date, the traditional methods of planning and operating energy systems have been mostly
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. Good oral and written English and German skills. Willingness to support teaching and supervise MSc/BSc student projects. Your workplace Your workplace We offer A unique and stimulating work environment