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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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, conference presentations) A statement from your supervisor committing to support your finalization phase Compliance with the CoBeNe regulations for PhD candidates (agreement to the Code of Good Practice, FÖP
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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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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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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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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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with layers reflecting the built environment - Add appropriate metadata and labels - Submit the graphics in the cover letter along with: - The code (Python, R, or MATLAB) (as an appendix, in
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appendix to the cover letter) along with: -The code (Python, R, or MATLAB) -A short description of your methodology (e.g., Jupyter notebook, script) Equality and Diversity The University of Vienna is