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areas like machine learning, artificial intelligence, human-computer interaction, ubiquitous computing, user-experience design, tech-law policy, and much more. IS is located in Cornell’s Gates Hall and a
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track teaching faculty members who are hired on multi-year appointments with the expectation of renewal and promotion. Candidates for the position should hold a PhD in a computing-related field, have
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volunteers. As the ideal candidate for this role, you’ll have technical subject expertise in software engineering, web development, data science, machine learning or AI and experience designing or delivering
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their misbehavior contributes to disease. The candidate will continually innovate and modify this course to promote student engagement and create an inclusive learning environment, by developing and implementing
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readiness to learn, to participate fully in the Cornell experience, and to achieve academic, work, and life success. Cornell Health is nationally recognized for innovation and leadership, and is committed
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of courses to an extent consistent with the terms of the funding of the position. Required Qualifications: A PhD in Mathematics, Data Science, Computer Science, related STEM fields, or areas of social science
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a D.V.M. degree or equivalent and/or PhD training and practical experience will be considered. The successful applicant will be expected to build and maintain an active research program in fish health
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Information Science (Bowers CIS), and the School of Industrial and Labor Relations (ILR). Specializations ranging from mathematical statistics, computational statistics and machine learning to the development
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Professor applicants. However, for exceptional candidates nearing the completion of their PhD, we can provide additional support in the form of a bridging fellowship for postdoctoral training before the start
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production, and productivity. New York State is home to ~630,000 dairy cows on >3,000 farms and ranks among the top five milk-producing states in the U.S. Individuals having DVM and/or PhD degrees