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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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or granular regulatory datasets (e.g. EBA/ECB data, COREP/FINREP, AnaCredit). Teaching experience or aptitude at university level (particularly valued if the position includes a teaching component). Knowledge
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