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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 Hamiltonian matrix prediction to treat dynamical matrices. This ML framework will then also allow us to produce the derivatives of both quantities, which correspond to the electron-phonon and anharmonic phonon
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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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Experience with high-performance or distributed computing environments Good understanding of meteorological processes and numerical weather prediction Interest in DevOps practices and sustainable software
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proposal (max. 3 pages) on "Future of food processing for affordable, nutritious and more sustainable foods", addressing current challenges, key literature, and innovative approaches. CV with list
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, or signal processing Experience with data acquisition systems or laboratory electronics You are currently enrolled as a student at a Swiss university Workplace Workplace We offer Training opportunities Hands
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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of Mechanical and Process Engineering and the Department of Health Sciences and Technology, offering a unique interdisciplinary blend of cutting-edge research in engineering, health, and technology. Project