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Familiarity with statistical software (e.g., Stata, SAS, R, Python) Contact Information: Yuuka McPherson, Fellowship Program Coordinator Edmond & Lily Safra Center for Ethics Contact Email: ethics_fellowships
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interpretation Familiarity with statistical software (e.g., Stata, SAS, R, Python) Special Instructions Please submit the following materials: Cover Letter Describe your interest in the position Include your
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, digital preservation, human computer interaction, or large language models. Experience with a variety of data engineering languages and tools. Strong understanding of technologies like the Web, Python
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degree in economics, computer science, or another quantitative discipline (such as, but not limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab
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analysis and related programs in e.g. R, Python, a plus. The applicant should be comfortable interacting with children of all ages, with undergraduate students, and especially with parents and community
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limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab and Stata) is highly desirable. The candidate must be self-directed, thrive on independent
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/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and
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, patch clamp recording, and correlative light and electron microscopy. Experience with data analysis software including MATLAB, Python, and ImageJ. Experience with neural circuitry. Excellent problem
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and data models, ensuring seamless backend (Python, Rust, Go) and frontend (TypeScript/React) integration. Build scalable evaluation frameworks for model performance, reliability, and compliance
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or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Machine learning skills; Writing papers for management and