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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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the Digital Atlas, this project will be highly resolved in space and take novel approaches to modeling uncertainty. It will use and potentially expand a large collection of data compiled by Fabian Drixler and
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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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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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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
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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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-of-the-art research facilities and vast resources to support professional development. For more information about our lab, past publications and our research please see our website: https://www.thelakelab.org
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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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patients. Other areas of research focus that are consistent with the general themes of the labs are also possible. The Kleinstein Lab pairs big data analyses with immunology domain expertise to better
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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