690 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Pennsylvania in United States
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concerning inclusion of digital files into courseware. Library Assistants in public services areas are responsible for service desk (circulation/reserves and information), some training and directing the work
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, randomization of human subjects, data abstraction and entry in electronic data base systems. Translational research involves assisting with the transition of basic science research to clinical research which may
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econometric analyses, cleaning and analyzing data, writing research reports, conducting background research and literature reviews, identifying and obtaining secondary data, coding survey questionnaires, and
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. The ability to balance multiple priorities, handle confidential, highly sensitive information, and manage administrative projects, is essential in this position. The tasks performed by this position
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the requirements of the position, and in alignment with salary ranges based on external market data for the job’s level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement
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information on BSD, visit: https://www.business-services.upenn.edu/ About Residential & Hospitality Services Residential and Hospitality Services (RHS) is one of 15+ departments and programming under
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alignment with salary ranges based on external market data for the job’s level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is
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senior leadership and developing long-term strategy. Excellent communication and negotiation abilities. Experience working under tight deadlines and utilizing various systems/reports/data to develop long
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stakeholders Preferred Experience with RAG systems, vector databases, and retrieval pipelines Experience building interactive data exploration or sensemaking interfaces Familiarity with scientific literature
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directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job’s level. Internal organization and peer data at Penn are also considered