829 data "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Harvard University
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. Expected Start Date: Between July 1-Aug 15, 2026. Exact date is negotiable. Contact Information Professor Pragya Sur Department of Statistics Harvard University Maxwell Dworkin 33 Oxford St Cambridge, MA
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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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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
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. Special Instructions To apply, please submit: 1. A current CV, including information about prior teaching experience. 2. A cover letter that briefly describes your teaching background, areas of expertise
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Additional Information Standard Hours/Schedule: 40 hrs. per week | Monday - Friday | 8:00 am - 5:00 pm. Ability to work occasional overtime required. Visa Sponsorship Information: Harvard University is unable
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the position is filled. Contact Information HSDM Office for Faculty Affairs Harvard School of Dental Medicine 188 Longwood Ave Boston, MA 02115 hsdmfaculty_affairs@hms.harvard.edu Contact Email
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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and implementing commercialization plans for technologies in the physical sciences, engineering, applied, and computer sciences. This entails assessing the commercial potential and market opportunities
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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