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. Mentor students in research methodology, study design, data analysis, and manuscript preparation. Build, manage, and curate institutional and project-specific research databases to support ongoing and
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, including coursework and/or research experience in evidence synthesis. 3. Programming experience using large datasets (e.g., R, Python). 4. Outstanding English written and verbal communication skills, with
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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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available positions. The project will involve the development and implementation of novel algorithms for analyzing breast magnetic resonance imaging (MRI) data for breast cancer detection and diagnosis. Our
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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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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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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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. * 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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/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