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establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development of an in vitro model
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data identifying the most resilient and high-performing plant species. Measurements and analyses will be conducted at multiple sites across the EU and integrated with soil-plant-atmosphere modeling
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. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne traffic is an underestimated problem. In our research group, we develop new technical solutions to mitigate
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both the structural and electronic evolution of chiral molecular systems during their (bio-)chemical activity in real-time. We are looking for a creative and highly motivated postdoctoral researcher with
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conventional methods. By combining advanced experiments with collaborations in theory and modeling, our research aims not only to deepen the fundamental understanding of ferroic systems, but also to open new
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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Group at Empa, an interdisciplinary team specializing in structural engineering, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations
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Postdoctoral Researcher in Marketing (AI & Synthetic Data) 80-100% Join the Marketing Group at the University of Basel to advance research on synthetic data. In an Innosuisse project with Boomerang
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. Within the FOEN funded «Habitat Map of Switzerland» project
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood