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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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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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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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ETH’s Center for Manufacturing, which is to be founded in the coming months.The selected candidate will support in the development and execution of educational and mentoring activities as
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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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." 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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quality—while also being willing to handle the operational work required to make it happen—this position is for you. Project background This position is part of the strategic teaching development initiative
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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
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Traumatic SCI has profound and lifelong implications for affected patients and their families. A major challenge in drug development for traumatic SCI is the high failure rate of clinical trials despite