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enthusiastic, creative and self-motivated Workplace Workplace We offer Through this project you will develop and improve your experimental skills, for time-resolved measurements at low temperature and under
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flip-chip technology integration. A future career in research and development or education, whether in academia or industry, should align with your career aspirations. You should possess a genuine
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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. Profile We are looking for a committed and motivated
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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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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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Dynamics via Innovative Scale-Invariant Seismic Monitoring and Multi-Sensor Integration”, we aim to further develop novel seismic monitoring and analysis methods utilizing machine learning techniques
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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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written English and German skills. Willingness to support teaching and supervise MSc/BSc student projects. Workplace Workplace We offer A unique and stimulating work environment within a strong and very