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our state-of-the-art fluorescence imaging instruments, which include a Leica Stellaris 8 STED super-resolution confocal microscope, a Leica SP8 confocal microscope, a Leica Thunder epifluorescence
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Machine Learning, Code Analysis/Generation for Machine Learning and MLOps, and Continuous Delivery and/or MLOps. You participate in research projects and studies. You hold university courses within
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DOME using our state-of-the-art microbiome imaging instrumentation, which includes a NanoSIMS 50L, a Stimulated Raman Scattering (SRS) microscope, a point-scan and wide-field mid-infrared photothermal
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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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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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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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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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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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, 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