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and collaborative department and to help define the future of Bioengineering education. The Fellow will train in evidence-based practices for curricular design and assessment methodologies and will
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. At single cell level, how does the same genome give rise to thousands of different cellular phenotypes in the brain? 2. At the tissue level, how do gene networks orchestrate intercellular communication
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be expected to help define the research questions of interest, and lead both empirical and methodological research efforts towards publication, working together with student collaborators. Teaching is
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cohort experience through the HEAL PURPOSE network. This T90/R90 resides within the Department of Anesthesiology, Perioperative, and Pain Medicine and be in partnership with the Maternal and Child Health
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safety events. In addition to priority projects, the Postdoc will have the opportunity to work with other researchers both at Stanford and within our larger national network of collaborators with similar
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.) and proficiency in data analysis software (such as R, Mplus, SPSS). Extensive experience interpreting research data and summarizing findings via written reports and oral presentations. Strong record
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior
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related to protein homology modeling, ligand docking and drug design to develop the next generation of safer anesthetics. Specifically, this individual will initially be an integral developer of a large
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Qualifications: • Ph.D. in epidemiology, public health, economics, health policy, health services research, or a related field. • Strong quantitative and analytical skills, with proficiency in statistical software
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transport through interconnected fracture networks in sedimentary stacks. Motivation: The patterns of fluid migrating through granular media is of fundamental importance for many Earth Science problems