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cover letter will not be considered. Applicants who receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least
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research projects. - Collecting, processing, and analyzing data using R and/or Python. - Providing other support and assistance as needed at a busy new initiative. Required Qualifications: • A master’s
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expertise in one or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing
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previous experience managing and analyzing quantitative data using sophisticated statistical or computer programming techniques. Proficiency in R is required. Previous experience with Python, ArcGIS, web
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scientist and engineer to lead R&D efforts on technologies for acquiring nanoscale volumetric images of brain tissue. This will include projects on robotic collection of ultrathin serial sections and
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Qualifications: Database management tools (e.g., SQL) R ArcGIS or other GIS software Experience using administrative data Princeton University is an Equal Opportunity and all qualified applicants will receive
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include: *Doctoral degree in economics or political science. *Academic experience in economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA
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web development experience (e.g., Python, R, JavaScript, etc.)- Research experience in psychology or neuroscience- Excellent organizational skills, intellectual curiosity, and community orientationFor
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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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/or energy *Strong methodological and quantitative skills, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling