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of research data analyses, and associated academic presentation and publication of research methods. Experience in both conducting data analysis and supervising the work of data analysts when available
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these methods as an important addition to the Biomedical Informatics’ body-of-knowledge, with the purpose of improving clinical applications and enhancing medical care. Required Qualifications: A PhD in
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. Knowledge, Skills and Abilities: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master programs. Ability to work under deadlines with general
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expertise on most or all of the systems and work independently with little assistance from a lead or supervisor. May also develop new methods or procedures for carrying out unique assignments; and give
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the standards of scientific investigation that matters for health. SPRC investigators are collaborating on numerous, long-term projects designed to translate research into effective ways to promote well
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of glia in normal brain plasticity and the pathophysiology of glioma (malignant glia). The lab's research program focuses on gliomas such as glioblastoma and diffuse intrinsic pontine glioma (DIPG) and the
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research projects in lab and/or field based on knowledge of scientific theory. Independently conduct experiments; maintain detailed records of experiments and outcomes. Apply the theories and methods of a
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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Biomedical Data Science, Research IT, and Research Informatics Center. The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford's
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of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and