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/smart, confocal, super-resolution, light sheet microscopy). Knowledge of state-of-the-art image processing and analysis tools and a track record in developing innovative image analysis and data science
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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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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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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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60%, Basel, permanent ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The Single Cell Facility (SCF) is a central research and service platform
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research group studies the crucial role of clouds and aerosols in the climate system, aiming to better understand cloud microphysical processes. Project background The primary goal of this student position