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opportunities in Northern Nevada. Dual Career Assistance Program Department Information The General Counsel's Office provides legal advice and representation to the University's leaders, decision-makers, and
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them to identify career opportunities in Northern Nevada. Dual Career Assistance Program Department Information The University of Nevada, Reno, has a student body of approximately 21,000. Nevada is a
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learning environment by providing individualized services and resources that support academic success. Contact Information Shane Carter at shanecarter@unr.edu Exempt Yes Full-Time Equivalent 100.0% Required
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
innovative technology-based solutions. Professional experience with integration of complex multi-modal systems comprised of financial systems data mining and analysis platforms, digital commerce ecosystems
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given to candidates whose research aligns closely with our data science program and who can demonstrate hands-on experience with programming in Python and R, as well as experience with SQL, data mining
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and two years of experience in the fabrication, maintenance, calibration, repair and modification of a variety of electrical, mechanical and/or computerized equipment and computer systems; OR
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, data conversions, and ERP development and database management. Utilizes statistical modeling and data mining techniques to analyze and report university data. Designs, codes, tests, debugs, integrates
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MINIMUM QUALIFICATIONS HAVE BEEN WAIVED FOR THIS POSITION UNTIL JUNE 30, 2025. Please refer to the link for more information: https://gov.nv.gov/Newsroom/ExecOrders/Executive-Orders/ Incumbents possess a
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seniors throughout Storey County and Dayton. This temporary part-time position focuses on direct education delivery, community outreach, participant recruitment and retention, program data collection, and
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science program and who can demonstrate hands-on experience with programming in Python and R, as well as experience with SQL, data mining, predictive modeling, large language models, machine learning, and