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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification
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safety protocols. Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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developing personal projects, students gain valuable hands-on experience and learn essential skills for their future. That’s why we’ve created an ecosystem where students - Bachelor’s, Master’s, and Doctoral
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to enable the scientists at ETH Zurich to develop new technologies necessary for their successful research. Curious? So are we. Starting date: The anticipated start date for this position is January 2026 with
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100%, Zurich, fixed-term In the newly established Brain-Body Regulation Lab at ETH Zurich (Department of Health Sciences and Technology), we focus on developing non-invasive (self-regulation
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dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within and between-host level (1 ,2
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." This project aims to develop data-driven tools to assess supply chain vulnerabilities for critical medicines, using pharmaceutical Bills of Materials (BOMs), trade flows, and production data. The work is part of
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experiments to gain a better quantitative understanding of the disorder and to develop intelligent mechatronic shunt systems. In line with our values , ETH Zurich encourages an inclusive culture. We promote