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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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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
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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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experts Constructing and analysing attack graphs from dependency data, using and adapting algorithms to run simulations and optimizations Integrating project results into partners' processes, identifying