460 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs in Austria
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| Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 03.02.2030 Job ID: 3648 Among the many good reasons to want to research and teach at the University of Vienna, there is one in
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. The employment duration is six years from the start date. For more information about our research focus and team, please visit our homepage: https://mathematik.univie.ac.at/forschung/biomathematik-dynamische
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friendly work environment and the possibility of bringing forth and working on your own ideas. In case of positive evaluation at the end of the fixed-term period of 4 years, the position will be changed to a
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and the possibility of bringing forth and working on your own ideas. In case of positive evaluation at the end of the fixed-term period of 4 years, the position will be changed to a permanent position
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and flexibility. We cover the whole data processing chain including image capture, image processing/computer vision and image content analysis with traditional and modern machine learning/AI methods
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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. Your qualifications as an
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Expertise in one of the following areas applied to sports and/or human movement science: Computer Vision Match & Performance Analysis Machine Learning Ubiquitous Computing Virtual Reality Teaching experience
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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. Your qualifications as an
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topics in theoretical chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning
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this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a