782 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions at Harvard University
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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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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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supervision under tight deadlines. Additional Information Important Application Instructions: In order to be considered complete, applications must include: (1) Cover letter of 300 words or less (2) Résumé
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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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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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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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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description Job Summary: The
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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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duties are carried out under the direction of a CBAR senior statistician: Conduct ongoing, periodic and final analyses of data, using specialized statistical techniques and statistical programming