823 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Cornell University
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research into practical, scalable solutions for modern dairy farms. We develop machine learning models, decision-support tools, and digital platforms that improve production efficiency, herd health
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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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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dishes, pots, pans, utensils, etc., by machine or hand. Sweep and mop the kitchen and adjacent areas. Remove and dispose of all food waste and trash from kitchen areas. Empty trash cans in the dining area
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courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning
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next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML
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on this link to submit your application: https://academicjobsonline.org/ajo/jobs/31850 " style="font-family: "Times New Roman", serif; font-size: 10pt;">https://academicjobsonline.org/ajo/jobs/31850 Detailed
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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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Fitness Centers including all cardio machines, spin bikes, selectorized equipment, plate loaded equipment, and free weight equipment. Duties include but are not limited to daily inspections of fitness
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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