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bioengineering, computer science, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. Strong knowledge in bioinformatics
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University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent
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analysis skills, with a minimum of 3 years of statistical programming experience with R (possibly also Stata, Python or other statistical software) Excellent oral and written English-language communication
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and reporting, statistical analysis, scientific presentations, and manuscripts publication. The interventions include cutting-edge behavioral and social psychological approaches, and the position
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good communication skills in English. Required Application Materials: CV (no cover
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populations such as RASopathies, autism spectrum disorder, attention-deficit/hyperactivity disorder, or other genetic syndromes Strong research methodology and statistical analysis skills Excellent written and