106 computer-programmer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions at Harvard University in United States
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. Applicants should have a strong record and future promise in teaching, service, and scholarship, and be prepared to join a vibrant program recognized for educating leaders in education, research, patient care
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School: Harvard Medical School Position Description: As part of its Marshall J. Seidman Fellowship Program to support impactful health policy research, the Department of Health Care Policy at Harvard
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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on tasks for the annual fellows and intern program to ensure deadlines are met. Coordinate the onboarding logistics, such as payroll and facility access setup, for new fellows, interns, and staff members
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work-from recruiting and onboarding experts, to designing engagement pathways, to supporting seamless touchpoints between founders and the broader network. The role combines program management
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on tasks for the annual fellows and intern program to ensure deadlines are met. Coordinate the onboarding logistics, such as payroll and facility access setup, for new fellows, interns, and staff members
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funded by the Gates Foundation, and in partnership with ministries of health, academic partners, programme implementers, and international health agencies such as UNAIDS, WHO, PEPFAR, and the Global Fund
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tools. The successful applicant will be expected to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health
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https://daviscenter.fas.harvard.edu/ To learn more about the Program on Central Asia visit us at: https://daviscenter.fas.harvard.edu/research-initiatives/program-central-asia #LI-CK1 Work Format Details
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics