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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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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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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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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
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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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of the lower back and one of the most common reasons for spinal surgery in people over the age of 65. However, the choice between the two major types of surgical treatment - decompression or fusion - remains con
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engineering, geodesy, geophysics, physics, computer science, or a related field, with a background in digital signal processing and/or image processing. Strong analytical and implementation skills with a good