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emissions rise from the surface with moist air and form shallow convective clouds. At the cloud top, reflected ultraviolet radiation speeds up the photochemistry, and with it the production of the radicals OH
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model
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position as HPC Systems Engineer – Security Architecture & Cluster Administration (m/f/d, E13 TV-L, 100%) The position is available in the team of the Machine Learning Science Cloud and runs until 31st
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of HPC or cloud computing. Practical experience with computer vision. Experience with databases, research data management, GIS or geospatial data processing. What we offer An opportunity to play an active
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-cloud robotic control at our Garmisch-Partenkirchen campus. The project investigates how advanced robotic control and AI-assisted teleoperation can be safely deployed over communication networks with
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high-performance computing (HPC) environments and/or cloud-based data processing infrastructures Familiarity with workflow management systems (e. g. Nextflow) and workflow orchestration Experience with
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data (plans, images, point clouds) with artificial intelligence and integrating them into a BIM-based model. Become a part of our team and join us on our journey of research and innovation! Be part of
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and your job State-of-the-art machinery, equipped with edge cloud systems and a 5G infrastructure We value and promote the diversity of our employees' skills and therefore welcome all applications
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validation in simulation or on a real robot What you contribute Currently enrolled at a German college or university Proficiency in C++/Python Experience with ROS, image processing, point cloud processing