285 data "https:" "https:" "https:" "https:" "Linköping University" research jobs at Harvard University
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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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contact information for up to three references. Contact Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until
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. Additional Qualifications Special Instructions Please email Kara your CV, a short description of your research interests, and contact information for 3 references at kara_mckinley@harvard.edu . Selected
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography
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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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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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of the following: chronic neural recordings in freely behaving animals, high resolution behavioral tracking, optogenetics, and data analysi.. All candidates must have received a Ph.D. in a relevant
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their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations of research institutes. Please include
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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