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to medical imaging and clinical data Quantitative analysis of CT, MRI, and other imaging modalities Multimodal and longitudinal data analysis Development and validation of imaging biomarkers Translational
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supercomputing clusters at Yale, complete data processing, organization and analysis. They will learn to utilize R or related programs for analysis, graphing and coding. All human subjects research training will
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organization, data management, data analysis, and reproducible-research practices, including version control and structured analysis workflows. Operational aspects of running a research lab, including study
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Center, enabling the collection, storage, and analysis of tissue and biospecimen samples linked to rich clinical data. Postgraduate research assistants embedded in this program work at the intersection
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environments according to specified sources and protocols. Provides limited data analysis of results; may collect specimens in the field or clinic environment or perform chart review to identify specific