247 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Harvard University
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll explore novel
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seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. Position involves the development of methodology in the areas of clustered and survival data analyses. The application
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the use of large administrative data to understand and address inequality. OI has published seminal work on national trends in upward mobility ; racial disparities; the role of neighborhoods, social capital
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representative publications, and names and e-mails for three references. All documents must be submitted here through the website; applications will not be accepted by email. Contact Information Hetchen Ehrenfeld
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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. Additional Qualifications Special Instructions Contact Information Shree M Contact Email econacademicappointments@fas.harvard.edu Salary Range $80,000 – $95,000 Minimum Number of References Required 3 Maximum
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activities: (1) ensuring adherence to data security and the responsible conduct of research guidelines; (2) conducting psychosocial and genetic data management, analysis, and interpretation; (3) engaging in
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Information Stephanie Vincent Pierce Hall, Room 222 29 Oxford St. Cambridge, MA 02138 Contact Email svincent@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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variety of cutting-edge research in time-domain astrophysics, including the development and implementation of machine learning, statistical and data-driven algorithms to study exotic transient phenomena