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machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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. A major focus of our work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student
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or less, applicants should share their experiences and/or approaches (past, current, or future) to fostering learning, research, service, or outreach in a diverse community. Further Info: Pay Range
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acquired, with collaborators around the world, primarily from Australia, South Africa, and Bangladesh. Current work adds data from the US-Mexico interface. These two grants fund work seeking to understand
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work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student-centered learning as
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. A major focus of our work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student
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submitted letter from the current PhD advisor (can be in a reference letter) Applications will be reviewed on a rolling basis until April 20, 2026, with early applications strongly encouraged. Employment
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at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
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proposals led by the Systems Program and Faculty. Current Application Areas of Interest: Cyber-Human-Physical Systems: Human-System Interaction, Human-Centered Planning and Design. Smart, Connected, & Healthy