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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Venture Program Leader - Deep Tech & Science Startups 80-100% 1 Mission Help build the next
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24 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Researcher Profile Established Researcher (R3) Application Deadline 30 Sep
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The Swiss Centre for Applied Human Toxicology (SCAHT), associated to the University of Basel, is seeking a highly motivated Postdoctoral Researcher in Digital & Computational Toxicology
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We offer you Thrive in an inspiring, international research environment with cutting-edge infrastructure, where your work will directly impact the future of quantum technologies. Enjoy excellent opportunities for scientific development, career advancement, and integration into a dynamic,...
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24 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Mathematics » Computational mathematics Researcher Profile
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Eligible candidates who were previously in contact with the Research & Grants Office of UZH and have given them access to their MSCA proposal in the EU Funding & Tenders Portal will be informed automatically if they are selected for a Willener Fellowship. Other eligible candidates may request to...
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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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-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing. We
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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Develop algorithms for reconstruction of virtual histopathology images from sparse phase-contrast CT acquisitions of oncological specimens Comparison with standard histology and assessment of algorithm