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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and engaging
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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addition to employing standard genomic data analysis methods, the candidate will explore and apply new approaches leveraging Large Language Models (LLMs) for deep learning in genomics, where applicable. This position is
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later start date up to July 2025. Selected postdocs will work with their primary mentor on research at the intersection of educational data science, AI in Education, and the learning sciences, with