480 systems-science-"https:" "https:" "https:" "https:" "KU LEUVEN" positions in Switzerland
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- ETH Zurich
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- Paul Scherrer Institut Villigen
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fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences
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28 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Engineering » Materials engineering Engineering » Other Technology
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28 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Engineering » Materials engineering Engineering » Other Technology
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is offered in
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14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry
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We are looking for a motivated PhD student to explore the muon spin spectroscopy for perovskite solar cells research. This position is part of Muoniverse, a Swiss National Centre of Competence in
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6 Mar 2026 Job Information Organisation/Company University of Basel Research Field Chemistry » Biochemistry Chemistry » Inorganic chemistry Chemistry » Other Researcher Profile First Stage
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19 Mar 2026 Job Information Organisation/Company School of Architecture, Civil and Environmental Engineering ENAC, EPFL Research Field Computer science Technology Researcher Profile Leading
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Your position High-throughput drug screening has traditionally relied on 2D cell culture systems, which often fail to capture the structural and metabolic complexity of in vivo patient tumors