326 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at Cornell University
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Assistant Director, Generative AI and Learning Assistant Director, Generative AI and Learning The Center for Teaching Innovation (CTI) is a unit in the Office of the Vice-Provost for Academic Innovation (VPAI
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Assistant Director, Generative AI and Learning The Center for Teaching Innovation (CTI) is a unit in the Office of the Vice-Provost for Academic Innovation (VPAI). The CTI’s mission is to partner
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Professor position in the School of Electrical and Computer Engineering. The successful candidate will be expected to teach courses primarily in computer engineering subjects with an emphasis
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Cornell Dining’s overarching mission. This is position is part of the United Auto Workers (UAW) union. The current rate of pay is listed in the collective bargaining agreement here: https://hr.cornell.edu
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Machine Operator S02, Cornell Dining - Multiple Positions Available Student and Campus Life (SCL) inspires transformation in all Cornell students on their journey of individual, academic and personal
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for an Assistant Teaching Professor position in the School of Electrical and Computer Engineering. The successful candidate will be expected to teach courses primarily in computer engineering subjects with
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, engagement, community, and impact, which guide all programs and initiatives. Together, these elements drive the college's commitment to positively impacting society and fostering a collaborative learning
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impact, which guide all programs and initiatives. Together, these elements drive the college's commitment to positively impacting society and fostering a collaborative learning environment. The Peter and
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to build a comprehensive evidence base for real‑world problem solving; Advancing machine learning and AI efforts for environmental sustainability by advising on data ethics, metadata standards, reproducible
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expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health