242 machine-learning "https:" "https:" "https:" "https:" positions at Cornell University
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expected to develop, maintain, and teach in special training programs such as AQUAVET® and advance the aquatic health curriculum to recruit and train veterinarians for future roles in veterinary medicine
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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 . Our leave
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multiple faculty positions available at its Ithaca campus (tenured and tenure-track). Cornell CS is ranked among the top computer science departments in the country (http://www.cs.cornell.edu/ ). Ithaca, NY
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). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology
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and/or digital culture). In addition to conducting their own research, supported by faculty mentorship, the Fellow will be expected to teach two courses per year: one lower-level course, such as
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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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facilities, and national resources listed at https://www.engineering.cornell.edu/research-and-faculty/centers-and-facilities . Typically, postdoctoral experience is considered to be essential for Assistant
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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
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to one year of experience in dairy farm operations, or an equivalent combination of education and/or experience Proficiency with standard commercial software (Microsoft Office), with the ability to learn
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to organize, implement, and teach informal educational programs. Demonstrated ability to communicate effectively through oral, written and visual means. Demonstrated ability to utilize computer technologies for