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, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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and qualifications Expertise in advanced machine learning, deep learning and image vision techniques with focus on EO data (e.g. deep convolutional neural networks, transformers, deep learning based
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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systems, and machine learning methods for industrial high-performance visual quality inspection. The objective of this master’s thesis project is to evaluate the potential ofmaterial aware3D
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Electrical Engineering, Mechatronics, or a closely related field such as Computer Science, Mathematics, or Physics Solid background in one or more of the following areas: signal processing, machine learning