679 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Pennsylvania in United States
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apply to this posting. Your information will be reviewed and you will be contacted if we would like to encourage you to apply to a future posting or if we would like to learn more about your background
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medicine. Working Conditions Office, Library Computer Room; Requires extensive safety training; Requires protective devices Physical Effort Occasional lifting 24-50 lb.; Typically standing or walking
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desire to expand and deepen skills in research and quantitative data analysis, and emerge prepared to apply for PhD programs in Economics or Finance. Research Specialists will be encouraged to be
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and experience. Ability to lift and move objects over 50 pounds Strong Microsoft 365 Suite knowledge (Outlook, Excel, Word, and PowerPoint) is preferred. Data querying and/or experience with Business
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scheduling software (SLURM) Install and configure free and licensed software Monitor systems and services Perform routine systems maintenance Manage data and configuration backups Coordinate hardware repairs
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enrollment, scheduling and follow-up, data collection, and regulatory documentation while collaborating closely with the CRU team. Position is contingent on continued funding. This position is hybrid eligible
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supports Wharton’s strategic priorities in executive education, quality at scale, and data-informed decision-making. This role helps facilitate the expansion and optimization of the self-paced programming
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computer-based systems. Flexibility, teamwork, and a sense of humor are valued attributes for success in this role. Job Description Responsibilities Represent the Morris Arboretum in a professional, service
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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 an equal opportunity employer
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they 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