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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 high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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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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streamline data analysis and integration across domains. Regular publication of scientific and methodological results is strongly encouraged. Finally, the successful candidate will be able to present complex
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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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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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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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research interests. A copy of the doctoral degree certificate (PhD). Reference letters (or the contact details of referees willing to provide confidential references upon request). For further information
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flexible University Assistant (prae doc) interested in social psychology, digital transformation, and consumer research. Information about the position Our research group investigates how social and non
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. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 03/15/2026 Prae Doc