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Switzerland for more than 12 months in the 36 months immediately before their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process
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their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
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Tethys Robotics develops innovative underwater robotic solutions for inspection & investigation operations in challenging conditions. We serve clients such as large asset operators and industrial service providers operating in high-demand sectors including offshore wind, oil and gas, but also...
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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We look forward to receiving your online application through this portal and it should contain the following documents in PDF format (make sure your last name is on all the documents and in the file name): A Curriculum Vitae or Resume detailing your relevant past experience including a list of...
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
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atmospheric/environmental sciences, physics, computational science, engineering or a related field A background in numerical modelling, statistical data analysis and/or programming skills is highly encouraged
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in protein function, how these impact on cellular processes, ultimately giving rise to human disease. While we have a strong track record in fundamental research using computational methods and
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses on transitioning from academic prototypes to commercial-grade industrial systems while ensuring complete IP...