822 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Cornell University
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are seeking candidates who can teach large lower- and upper-level undergraduate and master’s level courses in AI-related fields. Any experience with online or distance learning modes of instruction is valued
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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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-related field and have demonstrated commitment to teaching excellence and innovation. We are seeking candidates who can teach large lower- and upper-level undergraduate and master’s level courses in AI
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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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with multiple valued constituents. The individual hired into this position will teach and advise students in the department’s two-year master’s program in real estate in addition to Ph.D. students
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, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
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information 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 . Cornell's
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candidate is expected to teach at the undergraduate, professional master’s, and/or doctoral levels in the Nolan School’s programs and as needed across the SC Johnson College of Business, contribute to
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develop methods to disentangle dynamic, multiscale ecological signals from large, heterogenous observational data. This work lies at the interface of statistics, machine learning/AI, ecology, and
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to plan, develop, manage, implement, and monitor projects and events from conception to completion. More information about the ILR School can be found at, http://www.ilr.cornell.edu and additional details