-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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