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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting
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computer science, data science, robotics, or a related field You have a strong theoretical course-based and practical project-based background in computer vision, machine learning, and artificial intelligence You
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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
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, and energy sciences, this project aims to advance the knowledge of how Earth's shallow fluid systems change over time and space. Being able to closely observe and monitor these processes is pivotal in