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has seen rapidly growing demand in recent years. In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on artificial intelligence, for modelling of macromolecular complexes
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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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consortium of academic institutions to solve challenging model reduction problems using SSM-reduction and compare this approach with other model reductin methods, such as dynamic mode decompostion (DMD
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and a physical presence in the Canton of Lucerne over the next ten years. The ETH Swiss GeoLab will use data from space, from the air, and from the ground, as well as AI-assisted analyses methods and
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DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.
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to conduct theoretical and experimental research in line with the TNU research agenda. In particular, the successful applicant is expected to focus on the development and validation of novel methods and
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the adoption of data science and machine learning methods within these diverse disciplines. Project background At the Swiss Data Science Center we work extensively in the application of machine learning
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Researcher (R2) Country Switzerland Application Deadline 9 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 41 Is the job funded through the EU Research Framework Programme
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, Switzerland, at the heart of the BioValley, a tri-national region that hosts 40% of the global life sciences industry and numerous major pharmaceutical companies, the D-BSSE offers a unique environment for high