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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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/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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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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use to enable precision medicine diagnostics for the patient and couple it with high-field MRI imaging to extend towards in-vivo applications. The project is interdisciplinary and the PhD student will
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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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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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 Do you have expertise in applied electronics and signal processing? Are you interested in applied research on transformative electronic textiles (e-textiles)? Your research
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content imaging for experimental workflows in biology and biochemistry. Project background The SCF's centralized instrument pool is accompanied by expert service provided by staff who offer instrument
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Digital Ecosystems for Equitable and Coordinated Biodiversity Policy 100%, Zurich, fixed-term 23.07.2025 | Department of Environmental Systems Science PhD Student in Data