800 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Cornell University
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31583 ">https://academicjobsonline.org/ajo/jobs/31583 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact
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information for three references. Materials should be submitted online to: https://academicjobsonline.org/ajo/jobs/31195 ">https://academicjobsonline.org/ajo/jobs/31195 . Applications received by February 5
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can be found at https://hr.cornell.edu/jobs/your-total-rewards . To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31178 ). Qualified candidates should submit a
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transcripts. Materials should be submitted online to: https://academicjobsonline.org/ajo/jobs/31386 ">https://academicjobsonline.org/ajo/jobs/31386 . Applications received by January 31, 2026, will be given
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://hr.cornell.edu/benefits-pay . Follow this link to learn more about the Total Rewards of Working at Cornell: https://hr.cornell.edu/jobs/your-total-rewards . Our leave provisions include three weeks of vacation and
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This position will serve as a Teacher Tutor for Cornell Cooperative Extension Association of Jefferson County in support of the 21st Century Community Learning Center (CCLC) Program and will provide
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that improve their learning set skills. This position will be a supportive and positive role model to program participants. This position will communicate with the Program Coordinator and After-School
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The best care starts with the best caregivers. Graduating soon? If you’re looking for a fast-paced, team-oriented, friendly and supportive environment where you can develop, learn new things and
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flexible hours, which may include evenings and/or weekends, as appropriate. Ability to teach informal educational programs. Ability to effectively participate in professional team efforts. Ability to plan
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materials by bringing together computer scientists, materials researchers, and data scientists to tackle knowledge- and data-centric challenges at the intersection of AI and materials science. In this AI-MI