395 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" uni jobs at Harvard University
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with team members to analyze and resolve data and pay discrepancies. Proactively monitors and resolves issues with employee pay errors including Time & Labor and Absence Management as well as data
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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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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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. 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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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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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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. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software
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an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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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