Sort by
Refine Your Search
-
Category
-
Field
-
presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA. Collaborate successfully with faculty, students, and other RAs at Princeton as well as external co
-
driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software. Publish codebooks and datasets
-
driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software. Publish codebooks and datasets
-
. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis. - Research experience involving neuroscience methods. - Master's degree or Bachelor's plus 2 years postbaccalaureate
-
machine learning techniques Work with structured data and drive innovation in unstructured data architecture and analysis Work with statistical programming language, like R or Python, and database querying
-
techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
-
Fluency in mathematical concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python, LabView or MATLAB) Excellent verbal and written communication skills in English
-
vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
-
processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a