672 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Harvard University
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in work and campus life free from harassment and discrimination. We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https
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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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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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. 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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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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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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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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contribute to overall lab operations and a collaborative environment. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined
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collaboration with the Clinton Health Access Initiative and national HIV programmes in Malawi, Zambia, Zimbabwe, and Mozamabique. Geospatial modelling of national surveillance and programme data in South Africa
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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