324 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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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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collaborative and international environment. Special Instructions Contact Information For further information, please contact petros@seas.harvard.edu . Contact Email lreck@seas.harvard.edu Salary Range $67,600
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-time Research Assistant (RA) wanted for an exciting, large-scale project in the laboratory of Professor Randy Buckner. Job-Specific Responsibilities: The RA's primary responsibilities include: (1) data
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members focused on a variety of research methodologies, such as: experimental design, analysis, coding, IRB, and data analysis in topics ranging from digital reskilling to marketing focused research in
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preparation and goal/benchmark setting, advising them throughout the entire review process. Collaborates with the RO, FAS IR, Faculty Affairs, and other campus partners to collect and analyze data on student
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required at the time of application; however, letters will be collected for finalists. Candidates should submit with their application contact information for two to three references from experts
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candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled
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Republic of the Congo (DRC). The Fellow will also assemble and clean administrative and survey data, conduct statistical analysis, and produce high-quality research outputs (tables, figures, and memos) for internal and
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representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.