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, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high dimensional inference, longitudinal data analysis, and clinical trials
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, and evaluate highly performant machine learning and AI models (including deep learning, natural language processing, and other advanced techniques) to address quality improvement and patient safety
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, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high dimensional inference, longitudinal data analysis, and clinical trials
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intervention studies, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high-dimensional inference, longitudinal data analysis, and
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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intervention studies, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high-dimensional inference, longitudinal data analysis, and