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recommendations, mastery models, or early-warning indicators. Apply learning science models (e.g., learning curves, item response theory, knowledge tracing) to track skill growth and predict mastery. Identify where
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Assistant. This position will work with research projects pertaining theoretical computer science, specifically graph algorithms and fine-grained complexity. Analyze, record and assess data. Write and test
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU-SVAP [#26731] Position Title: Position Type: Other Position Location: Pittsburgh, Pennsylvania 15213, United States of America [map
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-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the Department are engaged in a wide range of
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU-PRF [#27310] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh, Pennsylvania 15213
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contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the Department are engaged in a wide range of theoretical, methodological and collaborative
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graphing technologies to create dynamic student experiences. Automate processes using programming languages and scripting to streamline content development. Utilize SQL and data analytics to generate reports
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curves, item response theory, knowledge tracing) to track skill growth and predict mastery. Identify where learners struggle and what drives retention, progression, and engagement. Translate findings
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learning science models (e.g., learning curves, item response theory, knowledge tracing) to track skill growth and predict mastery. Identify where learners struggle and what drives retention, progression
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-IE [#27235] Position Title: Position Type: Other Position Location: Pittsburgh, Pennsylvania 15237