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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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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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100%, Zurich, fixed-term The research group for Chemical Biology and Molecular Imaging (Frei Research Group ) at ETH Zurich is looking for a doctoral researcher to develop chemistry inspired tools
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100%, Zurich, fixed-term Are you an ambitious postdoctoral scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to
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leading edge atmospheric measurement techniques (e.g., holographic imager) and UAV technology. A collaborative international research environment involving ETH Zürich, PSI, and the University of Oslo
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project using novel experimental techniques to study fundamental cloud processes. Hands-on experience with leading edge atmospheric measurement techniques (e.g., holographic imager) and UAV technology. A
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approaches to solve challenges in constitutive and process modeling. We bridge the gap between theoretical research and industrial applications through close collaborations with industry partners, applying
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100%, Zurich, fixed-term The X-ray Imaging Professorship is dedicated to advancing the clinical application of gratings-based X-ray interferometry. This groundbreaking technology depends