Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor Donnat
-
://apply.interfolio.com/174404 . Applicants must upload a cover letter, a curriculum vitae with bibliography, a research statement, and a teaching statement. R eview of applications will continue until the positions
-
science, statistics, econometrics, and computer science. Technical Skills or Knowledge: Proficiency with R and Python. Proficiency in working with large and complex datasets. Applying data science methods
-
out relevant data sources, and proposing action based on findings. You will use R and Python to perform in-depth analysis and create accessible visualizations, and your work will be highly visible
-
., SAS, R, or Python). Significant coursework or experience in programming. Preferred Competencies Strong interest in understanding poverty and issues affecting vulnerable populations. Proven ability
-
implementation in R/Python and clear interpretation. Hands-on experience harmonizing cognitive assessment data and applying measurement invariance/IRT/score linking. Practical knowledge of missing data (MICE
-
. Design, develop, and test business intelligence outputs (including visualization) to ensure useful and insightful information using software including R, Python, Tableau, and/or Excel to support research
-
., R and/or Stata). Technical Skills or Knowledge: Experience in data analysis. Strong quantitative skills. Ability to manage multiple projects simultaneously and meet tight deadlines. Preferred
-
the research projects of Thomas Miles, Clifton R. Musser Professor of Law and Economics. This part-time, temporary position is intended to last for up to one year, although this can be extended by
-
lead a team of data analysts in conducting complex data analyses to support the enhancement of child welfare systems. Utilizing your expertise in data manipulation and visualization with R, Python, and