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workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy
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publication-based PhD qualification, including: - Review of previous literature and the relevant theoretical background - Analysis of existing/secondary survey dataset(s) - Development of new survey and
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and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy response using large public datasets and modern predictive modeling Integrate CIN signatures with functional
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dataset(s) - Development of new survey and collection of original survey data - Development and implementation of experimental studies - Writing and contributing to scientific papers for peer
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. This position will be part of the Environmental Psychology research group (see https://env-psy.univie.ac.at/about-us/) and will be supervised by Profs Sabine Pahl and Alexandra Brausmann (environmental economics