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at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data, stochastic optimization
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on new developments related to machine learning and data science. Your Profile Doctorate related to the above requirements Strong background in optimization and partial differential equations Strong
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, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned researchers in the social sciences, philosophy, and
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Experience in electroencephalogram and electrospinogram, other biosignals Experience in biosignal processing Experience in nerve stimulation Knowlege in machine learning Very good written and spoken English
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agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 12.09.2025 Reference no.: 4441 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous
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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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Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites
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: 12.09.2025 Reference no.: 4441 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does
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based on internal research results Establish generalized solutions for simulation and post processing Establish a standardized experimental data acquisition for the development of machine learning
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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