91 computer-science-intern "https:" "https:" "https:" "https:" research jobs in Switzerland
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- University of Basel
- Empa
- ETH Zürich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
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- University of Zurich
- Paul Scherrer Institut Villigen
- EPFL - Ecole Polytechnique Fédérale de Lausanne
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- EPFL - Ecole polytechnique fédérale de Lausanne
- Idiap Research Institute
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- University of Bern
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31 Oct 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Programming Computer science » Other Economics » Business economics Economics » Marketing
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11 Nov 2025 Job Information Organisation/Company University of Basel Department Department of Biomedicine Research Field Biological sciences » Biology Medical sciences » Cancer research Researcher
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advantage. A 1.5-year fully funded postdoctoral position in a dynamic and international research group within the Department of Environmental Sciences at the University of Basel. You will have access to state
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5 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Inorganic chemistry Chemistry » Other Researcher Profile Recognised Researcher (R2) Country Switzerland
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13 Nov 2025 Job Information Organisation/Company University of Bern Research Field Biological sciences Other Researcher Profile Established Researcher (R3) Country Switzerland Application Deadline
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26 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Botany Biological sciences » Other Environmental science » Ecology Environmental science » Other
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and present them at international conferences. You hold a PhD degree in Biology or Environmental Sciences or in a related field and have a strong background forest ecology, in DNA-based biodiversity
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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engineering and natural systems and develop predictive tools for mechanical failure. Our team is highly interdisciplinary and international, bringing together researchers with backgrounds in materials science