347 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Harvard University in United States
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-paced environment is required. Additional Information Appointment End Date: This is a one-year term position Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is
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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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associates. Assist with data entry and maintenance of publication files when needed. Assist with the drafting of grant proposals, manuscripts, data use applications, and IRB protocols. Develop presentation and
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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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background in the visual arts and/or design is looked upon favorably. Special Instructions Please submit a CV and up to three examples of first author papers, as well as the contact information of no less than
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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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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