385 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions in Switzerland
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sample preparation and fabrication of mycelium-based composites Helping to set up and operate electrical sensing and measurement systems Assisting with data acquisition during laboratory experiments
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published work , or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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, or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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15 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Materials engineering Engineering » Mechanical engineering Physics » Computational
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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two hours per week (during the semester). Master Degree in Political Science or related areas Skills in quantitative methods and/or computational methods (e.g. text-as-data methods) Strong command of R
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institutions worldwide. Further information about Professorship for International Relations and Data Science can be found on our website. Questions regarding the position should be directed to Professor Dr
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can find more information about the Professorship of Research on Learning and Instruction and the research lab here . You can also contact Professor Dr. Martina Rau (martina.rau@gess.ethz.ch ) with
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, cell biology, time-lapse microscopy and single cell analysis. You will work in a dynamic and highly interdisciplinary team including computer scientists, experimentalists and clinicians. You will be
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Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series