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within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
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precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and
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with archival studies, oral history, and ethnographic fieldwork. Ultimately, the project aims to clarify how historical discourses and contemporary practices interact and influence the legitimacy
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promote closer interactions between medical research and health care. Research is presently organized in six research programs: Cancer Precision Medicine, Cancer Immunotherapy, Genomics and Neurobiology
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contribute to experiment planning, data analysis, scientific reporting, conference presentations, and peer-reviewed publications. The project may also involve interactions with external industrial partners and
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the ‘lone inventor’, modern economic science recognizes that innovation is a deeply social process embedded in human interaction. By tracing over 15,000 engineers and linking them to more than 100,000 patent