557 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Austria
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Field
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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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expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application
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to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 30.03.2026 Post Doc
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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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Physical Geography, Spatial Data science, Environmental Economics and Environmental Psychology. The successful candidate will also participate in the Vienna Graduate School of Economics (VGSE). The VGSE is
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) Mathematics, or a related discipline (Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics is advantageous Excellent command
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doctorate with a special focus on Romance Linguistics or General Linguistics, covering especially Spanish and/or Italian language data. • Outstanding Dissertation. • You are an expert in the field of grammar
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computer skills in connection with the preparation of legal texts and ready-to-publish manuscripts. You work independently and are both a good communicator and team player. What we offer: Work-life balance
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments
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participate in the department's research activities and support ongoing projects as needed. You will participate in selected activities related to the ERC project MANTRAMS (e.g., workshops, data preparation