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data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in machine learning, deep learning, foundation models/LLM. Excellent quantitative and analytical skills. Strong written
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the ionization process and the resulting correlations. Confront the measurements with the ab initio and analytical strong-field theory developed by the UCL partner group, closing the loop between experiment and
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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