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analysis using deep learning algorithms Detecting anomalies and dependence structures in high dimensional, high frequency financial data During the project, the PhD students will closely collaborate with
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economics, econometric techniques, machine learning or quantitative empirical research methods; The ability to work on real-world problems in an interdisciplinary and internationally oriented environment
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) speaks to these challenges. Built around a methodological core, we craft novel machine learning (ML) and artificial intelligence (AI) instruments for pattern extraction, explanation, and forecasting
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