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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Development and application of computational methods
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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
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National Science Foundation (SNSF) and conducted in collaboration with the University of Bern, combines advanced 3D microscopy, organ-on-chip technology, and mechanobiological approaches to dissect lymphatic
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, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical university and in developing research and
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the development of theoretical or computational methods for quantum many-body systems, quantum computing, or machine learning. Strong leadership skills. Ability to collaborate and establish positive interactions
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Zurich is one of the world-leading universities for science and technology. At ETH Zurich, researchers experience a climate which inspires top performance. Situated in the heart of Europe, yet forging
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impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. You can expect numerous benefits , such as public
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have profound applications and potential in protection of environment and high health standards. Our group is engaged in development of various sensors targeting biological pollutants, measurement
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sustainable energy and chemical process systems. Our research spans from the molecular level to the scale of systems. We develop methods to advance sustainable energy and chemical process systems from
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, organic geochemistry and past environmental changes to work on developing the subsurface (mineral soil profiles) as geological archives for lipid biomarkers and soil organic matter composition. Your