674 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Cornell University
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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 1/5/2026. Position closing dates may change based on Association needs
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Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees are expected to meet all of the Cornell University Staff Skills for Success
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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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memorandum to a client) to https://academicjobsonline.org/ajo/jobs/31274 . Additional information may be requested during the application process. To ensure maximum consideration, please submit all application
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Supervision Exercised This position will not formally supervise others but will To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31416 . Qualified candidates should submit
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https://academicjobsonline.org/ajo/jobs/31417 . Additional information may be requested during the application process. To ensure maximum consideration, please submit all application materials by January
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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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accessed here: http://workday.cornell.edu/ . Please contact the Cornell Cooperative Extension office at 607-659-5694 with questions. POSITION DETAILS: This position is a full-time non-exempt position - 100
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at their previous institutions. To apply: Please apply via Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/31329 Qualified candidates should submit a short cover letter, curriculum vitae, and contact
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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