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) – Sheppard Library - Technology Center Assistants Posting Number 07337 Position Number 07337 Student Job Category Student - Federal Work Study Community Service Number of Vacancies 3 Job Description Sheppard
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to multitask and manage time effectively Professional written and verbal communication skills Reliable and dependable Proficiency in Microsoft Office and basic office technology Schedule would be 2-4 hour blocks
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in troubleshooting of BAS platforms, directs vendor support and technicians to ensure reliable building performance. Drives system optimization, supports campus energy and utility dashboard integration
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 11 days ago
of the Foundation for Science and Technology, I.P., both in their current wording. 2. Activity scope: This project investigates and evaluates innovative model updating techniques aimed at improving the reliability
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Job Description Apply now Job Title: AI Software Developer Posting Start Date: 25/02/2026 About NUS IT NUS Information Technology is the cornerstone to providing reliable, high-performance and
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to reliable, innovative, and user-friendly technology that enhances the teaching, learning, and collaborative experience, directly supporting the university's academic mission. Duties include but are not
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arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https
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to manage time effectively. Ability to reliably follow established protocols and processes. This position is 32 hours/ Afternoons / Friday-Monday / 4:00pm-12:30am Michigan Medicine conducts background
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6 Mar 2026 Job Information Organisation/Company Luleå University of Technology Research Field Other Researcher Profile First Stage Researcher (R1) Application Deadline 3 May 2026 - 12:00 (UTC
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 8 hours ago
advanced computational techniques grounded in physical laws. The research will accelerate the development of reliable predictive capabilities for high-impact, low-frequency rainfall extremes. The successful