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are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation
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manuscripts 3. Write (and clearly document) SAS or R programs to clean, maintain, and analyze datasets 4. Manage data-related aspects of research projects 5. Assist with the development of research
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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