513 data-"https:"-"https:"-"https:"-"https:"-"New-York-University" positions at Harvard University
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responsible, but not limited to, the following: Manage daily operations within Food Pro and B-Trees, including system backup, startup, and data entry Enter and reconcile sales transactions for catering orders
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Millwright (where required). Additional Information Location: Harvard Medical School (HMS), Boston, MA – Longwood Medical Area Standard Hours/Schedule: 40 hours per week Sunday: Off Monday
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Additional Information Appointment End Date: 12/31/2026 Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre
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that are needed for its success. OpenDP is a community effort to build trustworthy, open-source software tools for statistical analysis of sensitive private data, offering the rigorous protections of differential
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activities: (1) ensuring adherence to data security and the responsible conduct of research guidelines; (2) conducting psychosocial and genetic data management, analysis, and interpretation; (3) engaging in
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information (email, address, telephone number) to Dr. Lee Rubin (lee_rubin@harvard.edu ). Applications will be reviewed on a rolling basis until the position is filled. Contact Information Jane LaLonde Contact
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Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training
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risky. We prefer to use the word “challenging,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role
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familiarity with generally accepted accounting principles is preferred. Must have excellent computer skills including in-depth understanding of, and experience with, databases, spreadsheets, word processing and
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, methods, and compliance with established protocols. Ensure adherence to all quality assurance, regulatory, and compliance requirements (e.g., IRB, data security, funding restrictions). Guide data collection