189 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Cornell University
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strict confidentiality. Ability to prepare and maintain an effective budget. Basic computer skills. Must be able to meet the physical demands of the position including the ability to lift 100 lbs. and be
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his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Jane Pearson, Association HR Coordinator at 315-788-8450 with questions. POSITION DETAILS: This position
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must apply online via their employee Workday account, which may be accessed here: http://workday.cornell.edu/ Apply By All applications must be received on-line by 11:59 pm on 12/17/25. Position closing
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will be given to candidates who can establish connections with potential employers and teach translation skills for professions in the sectors of energy, mining, and resource management. The appointment
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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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Engineering Physics, and Electrical and Computer Engineering. More information on Cornell Duffield Engineering's strategic research focus is available at: https://strategicplan.engineering.cornell.edu Cornell
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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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, which may be accessed here: http://workday.cornell.edu/ . Please contact Jane Pearson, Association HR Coordinator at 315-788-8450 with questions. POSITION DETAILS: This position is a full-time non-exempt
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Life Sciences (CALS), where full-time faculty and other renowned professionals direct world-class, mission-driven programs. Staff at the Lab teach undergraduate courses, advise graduate students, collect
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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