775 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Cornell University
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and personalized learning experiences Position Summary : This role is ideal for a highly motivated individual who thrives in dynamic environments and excels at translating vision into action. Working
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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advertising this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Diana Young, Assistant Manager for HR in Afterschool
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learning environments. Demonstrated ability to communicate effectively through oral, written and visual means. Demonstrated ability to utilize computer and video technologies for educational, reporting, and
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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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diverse cuisine. Cornell Dining is looking for customer-focused, high-energy, inspired, and ready-to-learn individuals who have a passion for food! Applications will be reviewed on a rolling basis. Wage per
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the Director of Commencement and a myriad of campus coordinators for event set-ups. Good math, reading, writing skills and proficiency in various computer software such as Maximo, Word, and Excel. Proficiency in
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, systems or molecular biology or related fields. A track record of independence, and a high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part
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metabolomics, proteomics, and/or the integration of complex, multimodal datasets. We particularly encourage applications from scientists developing novel statistical, machine learning, or artificial intelligence