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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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Your position Magnetic resonance imaging (MRI), developed in the early 1970s, offers exceptional soft tissue sensitivity and has powered the astounding progress of medicine over the past fifty years
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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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of Imaging. The Department has excellent computational facilities and access to the latest computer infrastructure. A wet lab is also available. Access to imaging, metabolomics, proteomics, and genomics
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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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Your position You bring an interest in pediatric craniofacial anatomy, coupled with a strong affinity for 3D imaging analysis, including segmentation. In addition, the role involves expanding
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-resolution X-ray imaging for biological soft tissue. We develop advanced X-ray methods to uncover new insights into neural structures. This position offers a unique opportunity to work at the forefront
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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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Visualization Modern diagnostic imaging modalities provide a wealth of information in three and more dimensions, which often exceeds human processing capacity. To help humans to study the information and to help
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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