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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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The Center for Statistics and Machine Learning is hiring a Computational Research Analyst to perform research on aggregated decision-making through rule systems with includes research into electoral
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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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assigning daily schedules and adjusting workflow, keeping staff motivated and cross-trained, maintaining statistics, monitoring the accuracy of accession work, coordinating shipping and receipt of materials
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coordination. Research on Policing Reform and Accountability project: Contribute to ongoing work on police body-camera research, which may include statistical analysis, literature review, and other research
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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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ability to translate research findings to policy and practitioner audiences. Demonstrated rigorous statistical analysis experience using RStudio’s Shiny apps, Leaflet interactive maps, geospatial analysis
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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