861 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Cornell University in United States
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account, which may be accessed here: http://workday.cornell.edu/ Apply By All applications must be received on-line by 11:59 pm on 4/30/26. Position closing dates may change based on Association needs
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Professor position in the School of Electrical and Computer Engineering. The successful candidate will be expected to teach courses primarily in computer engineering subjects with an emphasis
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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, sustainability, and diversity initiatives. For more information click here . Application Procedure: Interested parties should submit a resume and cover letter describing qualifications on-line at https
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the link to submit your application materials as described below: https://academicjobsonline.org/ajo/jobs/31963 Applicants must submit: 1) a NIH Biosketch or curriculum vitae, 2) a cover letter describing
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experience. Capability to learn software (e.g. spreadsheets, word processing), as well as computer-based inventory management system and other server-based systems. Familiarity with computer-controlled
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. The position will also assist with coordinating youth activities, educational exhibits, and hands-on learning opportunities for youth participating in fair programming. IMPORTANT INFORMATION FOR APPLICANTS
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of reference How to Apply Applications should be submitted through our posting on Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/31958 Applications received by April 30, 2026 will receive best
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enhance dairy cattle management and farm operations. Our mission is to translate cutting-edge computational research into practical, scalable solutions for modern dairy farms. We develop machine learning
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courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning