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the integration into the group’s research profile and the use of the group’s existing eddy covariance infrastructure (eddy covariance towers equipped with carbon dioxide, water vapor, and methane sensors). Your
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); catalysis; materials for energy conversion and storage; thermoelectric materials; materials with tailored optical and electrical properties; materials chemistry; materials for new sensor technologies
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the use of the group’s existing eddy covariance infrastructure (eddy covariance towers equipped with carbon dioxide, water vapor, and methane sensors). Your future tasks: You will actively participate
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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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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
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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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contributions to improve the quality of obstetric care. Ideally, modern and future-oriented aspects will be considered, including digitization, smart sensors, Artificial Intelligence (AI), and machine learning in
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publication projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific
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projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific publications