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Postdoctoral Associate to begin July 1, 2026. The one-year term position is renewable for an additional year based on performance and is part of Cornell’s Active Learning Initiative . This initiative supports
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations
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, 2026. The one-year term position is renewable for an additional year based on performance and is part of Cornell’s Active Learning Initiative . This initiative supports departments in integrating active
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participate in cross-disciplinary research and development projects related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate
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Associate as part of Cornell’s Active Learning Initiative (https://teaching.cornell.edu/active-learning-initiative-0) for the AYs 2026 – 2028. We invite applications from candidates with a specialization in
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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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of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based at the Ithaca campus. We expect
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in Ithaca, NY with a focus on developing deep learning algorithms. Dr. Haiyuan Yu, Ph.D. is a Tisch University Professor of Computational Biology in the College of Agriculture and Life Sciences and a
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Postdoctoral Associate as part of Cornell’s Active Learning Initiative for the AYs 2026 – 2028. We invite applications from candidates with a specialization in any area of History of Art broadly defined, and
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, implementation, and assessment of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based