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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic 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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through the electronic application process. Each recommendation consists of two elements: A form to be filled out by the referee An additional letter with the referee’s comments Your referees
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for fiber processing, polymer analysis, and electrochemical testing. You will be working at Empa in St. Gallen. The starting date is as soon as possible or upon mutual agreement, and the employment contract
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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practice. Project background Forest dynamics models increasingly need to represent climate-sensitive ecological processes while remaining computationally robust, transparent, and reproducible. The model
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applications, review processes, evaluation details, results, or reasons for acceptance or rejection. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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for a reliable, enthusiastic, and highly motivated postdoc with a passion for science to join our team in Zurich. Our research focuses on process- and system-understanding of the biosphere-atmosphere
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, publication-oriented research. The empirical work will involve field research in collaboration with leading company partners, including regular engagement with organizational actors and processes. The position