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Postdoctoral Associate in the Department of Biomedical Informatics & Data Science (BIDS), Yale School of Medicine Job Description We seek full-time Postdoctoral Associates in the areas of highly
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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collaborative research hub. Examples of the practical impact of recently published original science in our lab is available at www.goshualab.com . Qualifications Minimum qualifications (#1-4): 1. PhD or MD-PhD
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
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present data. The ideal candidate will have strong programming experience (R, Python, bash); working knowledge in Linux/Unix environments; experience in the analysis of large datasets; and a solid
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organization and maintenance of a large clinical database Support analysis for scientific presentations and quality improvement projects Present outcome data to other clinicians, collaborating sites, and at
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data as well as applications to the HCP-A, A4, ADNI, and other publically available datasets focused on aging and neurodegeneration. The postdoc will receive training in state-of-the-art neuroimaging
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projects, we have access to large datasets including the Million Veteran Program and the Psychiatric Genomics Consortium. The ideal candidate should hold an MD or PhD, and have a strong background in human
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the Youth Sport, Recreation and Wellness Fund to follow a large and representative sample of middle school students over time. The project will investigate the childhood predictors of physical and mental well