812 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Cornell University in United States
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December 25-January 1. To offer greater flexibility for observing faiths and traditions, we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued
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communication skills. Capable of adapting to the needs of a rapidly changing research environment. Demonstrated ability to learn new skills in different situations. Experience using electronic test equipment
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experience, including direct working experience with large animals or equivalent combination of education and experience. Must have a valid driver's license. Knowledge of or have the capacity to learn basic
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partnerships that include collaborative research, sponsored projects, experiential learning, recruitment and innovation sponsorships. Through proactive outreach, account management, alignment with faculty
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additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell Cornell's impressive educational benefits include tuition-free Extramural Study
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coordination with academic units, departments, colleges, and schools to facilitate faculty teaching and student learning. The Office of the University Registrar acts as the steward of academic and student
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greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell
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work experience and learn how to: Prepare and present food items for a diverse customer audience. Maintain food standards and health codes. Provide excellent customer service to guests. Operate point
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learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural