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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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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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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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: 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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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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, accounting and related systems as super-user, including data integration across donor, payment and expert systems To oversee end-to-end donor and sponsor processes (onboarding, mid- and back-office) and to
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, including method development, data analysis and preparation of results for publication. You are expected to sign a doctoral thesis agreement within 12 months. You engage in teaching (independently and/or in a
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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