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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal
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field. - Evidence of strong prior experience analyzing large datasets using advanced econometric and statistical methods (using R, Stata, and/or Python). - Strong interest and experience working
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● Demonstrated proficiency with statistical programs such as R, SAS, and/or STATA ● Ability to work independently and as part of a research team ● Commitment to academic diversity, equity, and inclusion Submit a
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proof of degree equivalency. · Animal handling experience · Prior experience with lung inflation, lung histology and immunohistochemistry. · Experience with R and with scRNA sequencing. · Perform
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses
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statistical software (R, SAS, etc). Demonstrated ability to conduct research and publish in peer-reviewed journals. Excellent written and communication skills. Duties and Responsibilities Perform advanced
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experience managing and analyzing complex datasets using R, Stata and/or SAS. Preference will be given to candidates with proficiency coding and managing multiple large datasets and experience estimating
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different types of social and ecological data at various spatial scales; o Experience working in R; o Strong written, digital and verbal communication skills, able to translate complex ideas into accessible
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent