167 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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single-cell and next-generation sequencing techniques as well as human and murine in vivo and in vitro studies and combine these with genome-wide computational and bioinformatic analysis. With strong
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. Through teaching, research and dialogue, we empower decision-makers to design evidence-based solutions for a better future. We are looking for a Student Assistant to support the School’s Executive Office
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class research in the field of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence
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100%, Zurich, fixed-term Dr Daniel A. Richards and Professor Andrew J. deMello, in the Institute for Chemical and Bioengineeringat ETH Zürich (ETHZ), and Dr Loïc Burr of the Swiss Center
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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to inform model adaptation and performance evaluation. Implementing ROM methodologies for fluid–structure interaction in wind turbine systems, balancing accuracy and computational efficiency. Validating
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We are seeking a dedicated and detail-oriented student assistant to join our university research group. This position involves collecting and analyzing data on retail companies in North America