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analyze three-dimensional motion capture data and medical images from various groups, including clinical populations, healthy people and elite athletes. Our goal is to improve clinical decision making in
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), robustness and flexibility. We cover the whole data processing chain including image capture, computational imaging and classification with classical and AI methods. You will develop concepts, specifications
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Data Manager. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department
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. The team's research interests focus on works, media, and contexts of images, architecture, and objects of Islamic art and the early historiography of Islamic art. Current research explores Arabic, Persian, and
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research methods Experience with image editing programmes What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a
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university assistant predoc, you will join the international team on Islamic Art History led by Professor Markus Ritter. The team's research interests focus on works, media, and contexts of images
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, agent-based modeling and simulation, network analysis, automated text and image analysis. In addition, your dissertation project will be integrated into the Vienna Doctoral School of Social Sciences
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experience, including experience in digital documentation, interpretation and reporting. Knowledge of digital image processing and geographic information systems (preferably QGIS) is desirable. You will have
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://doi.org/10.1101/2023.10.31.564945). In this project we will develop this idea into a prototype and then into a stable open-source microscope for the community. Further information about the Ries lab
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of our team. Your future tasks: Active participation in research and teaching, which means: • You conduct research on the topic of your thesis. • You contribute to the further development of ICON