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Lexington, KY Grade Level 06 Salary Range $18.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu
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The Learning Center Tutor's primary responsibility is to tutor in Writing, Math, Health Science, Science, study and test taking skills, and/or other subjects, depending on the needs of The Learning
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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Career Path Maker: https://www.purdue.edu/hr/careerpathmaker/ Who We Are Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and
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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited
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, and in-depth data analysis? We're looking for a fast-learning individual with strong transferable research skills to join our Digital Machining team as a Project Engineer In this role, you'll be
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California State University, San Bernardino | San Bernardino, California | United States | 9 days ago
, extended vacation and MSAs); leave status and accruals (vacation, holiday, sick, jury duty, bereavement, LWOP, AWOL, military, NDIL, IDL and compensatory time); and, changes in pay status (appointments, end
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holidays, vacation, generous retirement plans, tuition waiver, wellness options, and more! Visit- https://hr.kennesaw.edu/benefits/index.php Knowledge, Skills, & Abilities ABILITIES Able to handle multiple
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are based on relevant experience. Comprehensive benefits include Medical, Dental, Vision, 13 paid holidays, vacation, generous retirement plans, tuition waiver, wellness options, and more! Visit- https
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of the Alhambra and the Generalife. Project 2 — Machine learning for energetic-particle transport in thunderstorms This project explores machine-learning (ML) techniques to accelerate the numerical simula- tion