1,407 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Arkansas
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-9820. Department: Research Support Department's Website: https://crop-soil-environmental-sciences.uark.edu/ Summary of Job Duties: The Program Associate will be responsible for implementing machine
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job posting, please contact Human Resources at (501) 812-2839. Department: Learning Assistance Center Department's Website: Summary of Job Duties: Support computer lab operations. Support faculty and
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio
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, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title
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; Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.; Experience with graph theory and graphic libraries such as Gephi or NetworkX; Familiar with UNIX
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metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students
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, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination
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, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields
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Website: https://walton.uark.edu Summary of Job Duties: This is a non-tenure track position teaching both traditional and on-line classes. This position has a four-course teaching requirement each semester
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. For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Recruitment and Student Outreach Department's Website: https