628 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Harvard University in United States
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computational engineering or applied science field such as computer science, applied mathematics, applied physics, data science, computational science and engineering, human-computer interaction, design
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data analysis and reporting. OIRA serves as a trusted resource for implementing best practices in data synthesis and translation and supports a broad set of university functions. In this role
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. Please document your success in the classroom and your organizational skills. Special Instructions: Please submit the materials listed below through mathjobs.org: https://www.mathjobs.org/jobs/27618
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background in teaching and research and commitment to equitable and inclusive teaching. Candidates with graduate degrees (PhD or equivalent) and current graduate students are preferred. Contact Information
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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/guidelines . With
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Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu). Candidates are encouraged to apply by March 1, 2026; applications will be reviewed until the position
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basis until the position is filled. For more information, please visit our website, https://topo.chemistry.harvard.edu/ . Please note: This position is contingent upon funding and satisfactory
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systems. Working knowledge of Russian and knowledge of the broader Eurasian region, highly desired. Additional Information Appointment End Date: 12/31/27 Standard Hours/Schedule: 28 hours per week
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trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing
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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