119 data-"https:"-"https:"-"https:"-"CRCI2NA-Team-reMoVE-B" Fellowship positions at Harvard University
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their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations of research institutes. Please include
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or digital publications. Digital skills, including mapping and visualization software and Linked Open Data, would be useful but the fellowship with provide training as needed. Special Instructions Interested
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. Additional Qualifications Special Instructions Letters of recommendation are required at the time of application. Candidates should submit with their application contact information for two to three references
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of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from
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. For more information, visit our lab website at janetsonglab.com. Basic Qualifications PhD in a relevant field, or have completed all requirements for the PhD by the anticipated start date. Additional
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, and names and email addresses of two references. Contact Information M. Carlson Contact Email mcarlson@seas.harvard.edu Salary Range $67,600 – $91,826. Pay offered to the selected candidate is dependent
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their application contact information for three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes. Please include the following
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Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
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have next year), (ii) a curriculum vitae, (iii) names and contact information for three individuals who will serve as references (the deadline for reference letters is May 5, 2026—please alert your
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and