519 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" Fellowship positions in United States
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been extended to November 4, 2025. PLEASE SEE OUR WEBSITE FOR A LIST OF FREQUENTLY ASKED QUESTIONS . Contact Information Walid Hammam Director, Weatherhead Scholars Program Weatherhead Center
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school transcript, and (4) the names and contact information of three individuals prepared to provide professional references. Incomplete submissions will not be reviewed. For additional information
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Information: Sponsorship: Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon. Joining the CMU team opens the door to an array
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cells, antigen-presenting cells, cell culture, immunological techniques, multicolor flow cytometry, scRNA analysis are highly desirable. Please include the following information with your Resume/CV: Cover
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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information
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experience working with the Levin Center. The fellow will work closely with Levin Center staff and will report directly to the Levin Center director. The fellow will conduct research, data analysis, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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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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for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and