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in computer science, statistics, data science, economics, and/or quantitative social science. The Eviction Lab at Princeton University is an interdisciplinary and multi-generational research team who
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in R for conducting multivariate statistics and deep learning analyses using discrete and continuous phenotypic data; Assist lab members on conducting Python-based Bayesian inference analysis
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time scales. The core responsibilities of the Research Specialist will include: expand/develop code in R for conducting multivariate statistics and deep learning analyses using discrete and continuous
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the Study Abroad Fair, Passport Day, and other SAP program events; assists with providing reports, statistics, and analyzing study abroad data as needed (e.g., for the nation-wide Open Doors study abroad
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troubleshooting experimental protocols 3. Processing, organization and storage of sequencing data - Run basic sequence alignment and quality filtering protocols - SNP calling and summary statistics of large
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letters) for at least 2 references (we will contact references for letters at a later stage). PREFERRED - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R
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of population genetic statistics for analyzing microbiome data. Additional responsibilities include maintain labs servers and training undergraduate and graduate students and postdocs in bioinformatics
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contact references for letters at a later stage). PREFERRED - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R) - Experience designing research studies and
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econometrics or statistics. Previous experience is desirable with empirical research or comparable private-sector work, with preference given to these and related skill sets: coding (especially Stata and Python
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letters) for at least 2 references (we will contact references for letters at a later stage). Preferred: - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R