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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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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
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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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, archaeology, history, literary studies, religious studies, and beyond. NES offers courses in the languages, literatures, cultures, religions and history of West Asia and North Africa from the deep past to
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using deep learning and AI on remotely sensed data and programing skills in Python, C, Matlab or R. Supervision Exercised This position may supervise both graduate and undergraduate students. To apply