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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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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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statistical techniques in R or STATA Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex
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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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development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and community orientation Review
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- Programming, statistical, and/or web development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and
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. Python, C++, R, MATLAB, Julia). Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience working with large datasets and
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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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of statistical packages, including STATA, SAS, and/or R Knowledge of standard internet tools and HTML Familiarity with standard political science, economics and/or sociology data sources The successful candidate
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development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and community orientation Review