187 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nevada, Reno
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Information For more information, please visit the following link: https://www.unr.edu/military-science Exempt No Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application
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initiatives. The successful candidate will teach undergraduate and graduate courses in film and media production, focusing on areas such as visual storytelling, documentary filmmaking, media production
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English to Speakers of Other Languages (TESOL), and an doctoral degree strand in Equity, Diversity, and Language Education. Program faculty teach and advise MS and PhD students and teach undergraduate
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continuously enrolled in at least 30 academic credits throughout the duration of the employment Candidate must be proficient in Microsoft Office Word and Excel or willing to learn Students must be able to listen
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— including skiing, hiking, biking and water sports — in nearby Lake Tahoe and throughout the northern Nevada region. Learn more at unr.edu/engineering Contact Information Dr. Zong Tian at [email protected] Exempt
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. Schedules are subject to change based on organizational needs. The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination on the basis of a person’s age (40
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learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender (including pregnancy related
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employment. Schedules are subject to change based on organizational needs. The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination on the basis of a
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. The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others
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life-cycle analysis; and critical element recovery and recycling using molecular-based approaches. Applicants with experience applying machine learning tools in their research are especially encouraged