240 machine-learning "https:" "https:" "https:" "https:" positions at Cornell University in United States
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or full professor. In addition to maintaining an active research agenda, the successful applicant will teach courses in the field of Chinese politics as well as contribute to the broad research and teaching
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, comfortable, and purposeful living and learning environment aligned with university values and learning goals. Through partnerships with university faculty and staff, we foster students' personal growth
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teaching hospital. Immerse yourself in a world of constant learning and growth, supported by a community of passionate professionals. As an intern, you will: Attend lectures and labs, including
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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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of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning, and education
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team works on projects that examine and transform the interconnections, structures, and transition points that are critical to creating effective learning and work systems within engineering. The
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advisory boards and committees, and community and funding partners. Ability to initiate, plan, organize, implement, teach, and evaluate informal educational programs. Ability to work effectively as a team
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about our benefits: https://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
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at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
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conferences to stay current in the research field · Enhancing technical skills through continuous learning of new methodologies, software, or statistical techniques Required Qualifications · Ph.D