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. You have a solid background in computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis
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-makers, while actively providing the team with industry insights, contributing to successfully positioning Tethys Robotics among target customers Representing our technologically complex products in
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presenting academic partners, ETH AI Center, UZH.ai, and ZHAW, along with our expanding network of industry partners, startups, and VCs. The Festival takes AI to the city, engaging the public through talks
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mechanobiology across all scales. This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. This network has 8 doctoral
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authorities and administrations at a regional, cantonal, and national level, as well as for joining international networks focusing on studying novel forest realities. You hold a PhD and have an excellent
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, are foreseen as a playground. This project is part of a doctoral network MSCA . In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
enable the long-term monitoring of the emissions from large point sources across the globe, which will be critical for tracking progress in reducing air pollution and achieving net-zero emissions under
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, fracture of soft materials, and modeling failure in multiphysical processes such as corrosion-driven degradation of concrete. What unites these efforts is a shared curiosity about why complex materials fail
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environment – A responsible leadership role – An interdisciplinary environment in a strong research life science cluster – An attractive employer with a large national and international network The University
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the entropic elasticity of the eDNA network, a mechanism well described in polymer physics but largely unexplored in living biofilms. This could enable both short- and long-term adaptation to flow fluctuations