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and development. By preventing, diagnosing and treating a range of health disorders, our products and services have enhanced the health and quality of life of people around the world. Specifically, we
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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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leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
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environment for young scholars who are keen to develop creative thinking on the major challenges of our time. Application deadline: 15 May 2026 at 12:00 midnight (CET) Please note that offers received by post
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tasks You will be based at Empa to characterize the physio-chemical properties of plastic particles and will use ice nucleation instruments at ETH Zurich to simulate cloud ice formation processes. Prepare
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and active thermal hardware considering SWaP (Size, Weight, and Power) and COTS (Commercial Off-The-Shelf) aspects depending on the mission parameters. As part of your role, you will: Develop and
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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. Empa is a research institution of the ETH Domain. Our Laboratory for Advanced Fibers in St. Gallen develops functional polymer fibers with applications in energy storage, health, and environmental
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facility automation. To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient
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80%-100%, Zurich, fixed-term The Professorship of Architecture and Human Augmentation and the Design++ at ETH Zürich are seeking a highly skilled Software Engineer to contribute to the core