251 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Harvard University in United States
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specific duties are carried out under the direction of a CBAR senior statistician: Conduct ongoing, periodic and final analyses of data, using specialized statistical techniques and statistical programming
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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experience in the collection and analysis of clinical data. 3. Strong written and oral communication skills. 4. Ability to work independently and as part of a team. Additional Qualifications Experience focused
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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for finalists. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations
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, Zambia, Zimbabwe, and Mozamabique. Geospatial modelling of national surveillance and programme data in South Africa to develop new tools to support national HIV and TB policy in South Africa through
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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Republic of the Congo (DRC). The Fellow will also assemble and clean administrative and survey data, conduct statistical analysis, and produce high-quality research outputs (tables, figures, and memos) for internal and
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representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.