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, computer vision, image processing, visualization, virtual, mixed and augmented reality, and machine learning for visual computing. About us Graz University of Technology is the longest-established university
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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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
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completed doctoral degree (PhD) in data science, computer science, statistics, mathematics, natural sciences or related disciplines in-depth knowledge of data mining, data science, machine learning
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in writing. • Computer literacy (MS-Office; Imaging Software). • Basic experience in academic writing. • Didactic competences / experience with e-learning. • Excellent command of written and spoken
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to express yourself both orally and in writing. • Computer literacy (MS-Office; Imaging Software). • Basic experience in academic writing. • Didactic competences / experience with e-learning
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writing. • Computer literacy (MS-Office; Imaging Software). • Basic experience in academic writing. • Didactic competences / experience with e-learning. • Excellent command of written and spoken
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enhancement methods to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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) and clouds You will develop novel methods and analysis tools for in-situ aerosol and cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the