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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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-learning assisted terahertz spectroscopy. Experience with terahertz frequency-domain spectroscopy in reflection and identification of materials using machine-learning assisted terahertz spectroscopy will be
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operations research, machine learning, and decision-making frameworks, with the ultimate goal of creating real-time autonomous systems that are not only trustworthy, but also adaptive when faced with
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computational methods such as NLP, machine learning, and AI within the group. The members of the IKE Group contribute to teaching in industrial dynamics, innovation, entrepreneurship, and related fields at AAUBS