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, communications and storytelling, computer science, and emerging technologies. The interdisciplinary field of digital arts and sciences is ideal for students whose intellectual and creative pursuits are not
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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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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, 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