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methods such as fluorescence and electron microscopy, mass spectrometry, biochemical assays, analytical separations, microbial genetics, and other biophysical and materials-characterization techniques. A
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Affairs. The FY27 minimum is $79, 056. Our research team is seeking a postdoctoral scholar interested in cardiovascular and cardiac surgery outcomes research and predictive analytics using advanced
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candidate with experience in data analytics, computation, statistical analyses, and decision-analytic modeling who is interested in health policy and economic evaluation. Prior work in any of the following
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, and range from applying methods developed in the lab to existing patient cohorts, to developing entirely new assays and analytical approaches. We study a wide variety of cancer types, with major focuses
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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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of COVID-19 under various nonpharmaceutical interventions with defined effects to assess the identifiability of these effects using various data-analytic approaches. The fellows will join a team including
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manuscripts. This position will be mostly computer-based but will have opportunities for field and laboratory measurements and the operation of analytical equipment. In addition, the candidate should be able
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoctoral Training Position Summary: The Stanford Trauma Systems Data Science
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resources strongly supports these efforts, including genomics, lipidomics, metabolomics, retinoid analytical cores, microscopy, animal facilities, and biostatistical support cores. Responsibilities • Design
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related discipline. Demonstrated research productivity, including a strong publication record in structural biology, mass spectrometry-based proteomics, and/or molecular biology. Strong analytical and