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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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in applied research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing
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are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we
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applied research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience
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Information Systems at the Faculty of Computer Science is looking for highly motivated research assistants, Ph.D. candidates. We are offering an excellent working environment in a young, creative, highly
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: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 30.04.2029 Job ID: 5311 The work group Machine Learning with Graphs of the subunit Data Mining and Machine
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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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20 Jan 2026 Job Information Organisation/Company TU Wien Research Field Engineering » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 Feb 2026
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panel, shape the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by
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English translation (including CREDIT TRANSCRIPTS!) Contact information of two referees, who have PREVIOUSLY SUPERVISED you in your past research projects Via our job portal/ Apply now - button If you have