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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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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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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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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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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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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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samples, sectioning, immunostaining Acquire a series of confocal microscopy images Quantify images using pre-defined algorithms Prepare GLP compliant reports Your profile Biologielaborant/in (or equivalent
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to gain a better understanding of how cloud microphysical processes drive both precipitation formation and the cloud's radiative impact. Project background The BeyondCloudlab project leverages weather
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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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diagnostic imaging in collaboration with our spin-off company, GratXray . Your primary focus will be on catalyst synthesis and MacEtch processing. Job description You will perform high-end research