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and project activities together with the team lead, and brings the formal and algorithmic foundations that strengthen ThreatGet's methodological core.
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active, diverse, and lively research unit, you have the chance to do groundbreaking research on Algorithms to encode data into object behavior. Methods to evaluate multimodal perception of data combining
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) Build, maintain, and execute automated data-processing pipelines using Python and/or R. Implement statistics, database matching, and quality control algorithms. The successful candidate is expected
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following fields (preferably several): recommender systems, user modeling, algorithmic fairness and ecological aspects (e.g., of recommendation algorithms/systems), simulation studies (e.g., simulation
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areas: computational thinking, programming, algorithmic thinking, physical computing, robotics, modeling, basic computer science education, AI literacy or general digital literacy. Experience in schools
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analysis and its theoretical or algorithmic foundations, or in other research areas at the interface between optimization, geometry and/or convexity. Academic links to the department’s existing research
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an interdisciplinary team that works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in
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", specialises in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral