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multimorbidity patterns in atrial fibrillation patients. The key responsibility of the position is to structure atrial fibrillation patient’s health data for machine learning algorithms(feature engineering
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methods for assessing generative AI’s compliance to GDPR. The purpose of the position is to build Bayesian metrics for privacy preserving AI(e.g., synthetic data generation, federated learning, and privacy
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opportunity to learn new analysis techniques(e.g., Matlab, Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and international
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