229 data-"https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs at Harvard University in United States
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work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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, reasons for your interest in the position, and long-term goals, (ii) a curriculum vitae, (iii) names and contact information for three individuals who will serve as references (the deadline for reference
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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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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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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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, 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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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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. 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