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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
/2026 Open Until Filled No Position Type Permanent Staff (EHRA NF) Working Title Director of Military Relations Appointment Type EHRA Non-Faculty Position Number 20074825 Vacancy ID NF0009660 Full Time
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of Vacancy Number ST2500542 Job Title Computer Technician II Job Category Regular Student Job Job Type Regular Student Jobs Position Class Code 82100 Student Employee Student Pay Grade 999 Hourly Wage/Salary
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Description POSITION: Learning Commons Coordinator HOURS/STATUS: Full time (40 hours per week), evenings possible START DATE: March 2026
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Associate Director of Onsite Learning & Volunteer Engagements (7374U) Lawrence Hall of Science, #853
, and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff
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, instruct, and mentor undergraduate students and staff. They will engage in research project discussion, team meetings, conferences and workshops, and various research-oriented events to provide timely and
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learning how embroidery machines operate and are set up Hours per Week 20-30 Job Summary You must be a current UK student to apply for this position. This position is located off campus with a local
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description COMPUTER SUPPORT ASSISTANT, Media Lab, to respond and resolve hardware, software, networks, and/or security issues, including installation and updates; respond to non-routine
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
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General Summary: UMass Boston’s Division of Enrollment Management is seeking to hire an Assistant Director for Admissions, Veteran, and Military Outreach. The Assistant Director is responsible
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RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and design Location Material