259 coding-"https:"-"FEMTO-ST"-"CSIC"-"U" "https:" "https:" "https:" "https:" "P" uni jobs at Georgetown University
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Transformative Gift management and/or oversight body, and as such will serve as a key voice for development and partner to a P&T program. Naturally, this role will provide guidance to GUMC development officers
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sensor and display devices is required. Professional knowledge of National Fire Protection Association standards, other related codes and standards, and have the ability to effectively interpret codes
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: https://apply.interfolio.com/177768 . Faxed, emailed, or mailed applications will not be accepted. Review of applications will begin December 14, 2025, and will continue until the position is filled
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safety and control regulations. Keep abreast of changes and new developments in applicable codes and regulations. Dress in proper uniform and carry valid University identification at all times, setting up
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positions can be found on the Department of Human Resources website: https://hr.georgetown.edu/mode-of-work-designation . Requirements and Qualifications The Accessibility Coordinator must possess a
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all disbursements and managing the university’s Procurement Card (P-Card) program. Serving as the business owner for all P2P systems (e.g., GMS and AppZen), driving continuous system and process
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supplies of the trade and observe all safety rules, codes, regulations and precautions in performing their duties. Work Interactions This position reports directly to the Low Voltage Electric Supervisor
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position’s mode of work designation. Complete details about Georgetown University’s mode of work designations for staff and AAP positions can be found on the Department of Human Resources website: https
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to zone office. Workers use all standard tools, equipment, materials and supplies of the trade and observe all safety rules, codes, regulations and precautions in performing their duties. The Electrician
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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in