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Princeton University’s Office of Information Technology is seeking a Senior Developer/Analyst II to serve as a technical expert for the PeopleSoft Human Capital Management (HCM) application
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partners; Leads web marketing projects, partnering with the IT development team, to successfully implement website overhauls and enhancements, including leading the creation of wireframes and design for
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ATR Details Position Details Search Number PJ # 7354 Title Programmer Analyst, Information Technology Services Category Professional Department Information Technology Services About The Position: We
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Title: Adjunct Instructor – Web Technology Required Documents Needed to Upload at Time of Application: • Resume • Unofficial Transcripts Position Summary: To provide quality instruction for student
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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
Surgery Full Time 88536BR Job Summary Works independently to develop and maintain complex web sites and develop, enhance, and maintain a variety of digital properties with a broad audience and / or
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learners with a high technical literacy who wish to gain or build on experience in clinical data management within a CTU. Appointment will depend on experience, specifically in the development of data
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Department of Electrical and Electronic Engineering AI / Web Developer (Full-time/Part-time) (several posts) (Ref. 251110003) [Appointment period: each for eight to thirty-six months] Duties
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Website https://www.academictransfer.com/en/jobs/359143/research-software-engineer/appl… Requirements Specific Requirements You have a background in software engineering, preferably with experience in web
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REQUIREMENTS The College/Unit of IST is seeking applicants for part-time job of Agentic AI Developer. Job duties to include: We are seeking highly motivated B.S. or M.S. students (who are not graduating until
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’ to ablate. Here, we aim to further develop, clinically validate, and prospectively evaluate, a novel in-silico tool that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models