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., the Stanford Education Data Archive (SEDA). This position will support work to expand and improve SEDA through contributing to the development of new linking and estimation methods, the cleaning and integration
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science, computer science, health or environmental sciences, or environmental economics Experience with causal inference methods, especially fixed-effects regression A demonstrated interest in
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causal inference methods. Duties include: * Managing research projects including federally funded major multi-site investigator grants and contracts. * Assisting with the development of research grants
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implications for their clinical use. The researcher will learn and apply multiple laboratory methods, including CRISPR-based gene targeting, cell culture, mouse husbandry, gel electrophoresis, western blotting
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. KNOWLEDGE, SKILLS, AND ABILITIES: General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability
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theory. Independently conduct experiments; maintain detailed records of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment
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with advanced statistical methods (e.g., hierarchical linear modeling) a plus. * Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS Sitting in place at computer
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on knowledge of scientific theory. * Independently conduct experiments; maintain detailed records of experiments and outcomes. * Apply the theories and methods of a life science discipline to interpret and
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will focus primarily on supporting research into building genetic and synthetic biology tools (transformation methods, promoters, approaches for high-throughput screening) for non-model fungi with
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and