835 data "https:" "https:" "https:" "https:" "Tilburg University" positions at Harvard University
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at https://academicpositions.harvard.edu/postings/15821. Applications must be submitted no later than March 2, 2026. Please note that references will only be invited to upload letters of recommendation after
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. Additional Qualifications We seek candidates who have strong expertise in design in the context of a computational engineering or applied science field such as computer science, applied mathematics, data
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here: https://itacademy.harvard.edu/ . Job Description This position will be responsible for supporting a broad range of systems and applications providing support both on-campus and remotely with a
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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projects through to completion. Additional Information Appointment End Date: December 2026. This is a part-time term appointment starting July 2026 through December 2026 . With potential for re-appointment
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and/or federal training grants a plus. Additional Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship: Harvard University is unable to provide visa sponsorship for this position Pre
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Medical School seeks a highly motivated postdoctoral research fellow in health services research. The ideal candidate will have experience working with insurance claims data and a research interest or
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
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, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description
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for Salesforce and Learning Communities Troubleshoot and resolve issues related to user access, roles, permissions, participant, faculty, guest, and staff records, data discrepancies, configuration