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-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could include interplay
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cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's
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the field of experimental building design and construction, computer-aided methods, analogue-digital production, hybrid processes. Acquisition, supervision and management of third-party funded projects
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excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and Machine Learning. The research objective of this position is to design and conduct studies
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: 12.09.2025 Reference no.: 4441 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does
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based on internal research results Establish generalized solutions for simulation and post processing Establish a standardized experimental data acquisition for the development of machine learning
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cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's
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Grundstufe (praedoc) Limited contract until: 12.09.2025 Job ID: 4441 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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close-range photogrammetry (e.g., using drone and terrestrial LiDAR images) and advance the research field of photogrammetry, considering computer vision and artificial intelligence methods. Air