707 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at Cornell University
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, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression
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Education. Six (6) months volunteer or work-related experience. Valid NYS Driver’s License. Ability to clearly communicate and to read and write in English. Basic Computer Skills including use of e-mail and
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of the year winter break from 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
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biology, computer programming, electronics fabrication, microcontrollers, and machining. Aptitude to learn new tools and techniques regarding interdisciplinary research. Rewards and Benefits Cornell
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multiple laboratory sections each week taught to about 100 students during the fall semester annually plus the operation of Ezra's Farm, which is used to teach hands-on management skills of animals; ANSC
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, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or
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. Proficiency in common computer software, including Microsoft Office and Adobe applications. Ability to manage multiple tasks, adapt to changing priorities, and maintain professionalism in a busy office
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Cornell's College of Agriculture and Life Sciences (CALS), where six world-class, mission-driven centers are directed by full-time faculty and other renowned professionals. Lab staff teach undergraduate
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AI system for materials science research. This is a unique position that sits at the intersection of artificial intelligence, materials science, human-computer interaction, and research leadership
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or technical programs. Demonstrated ability to cultivate inclusive, equitable, and encouraging learning environments. Strong proficiency in machine learning concepts (LLMs, neural networks, generative AI, image