187 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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yet hold an independent faculty position (e.g. Assistant Professor). Open to both U.S. and international researchers. Deadline Month: February (LOI) and May (full proposal, if invited) Description
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Professor Leemore Dafny . Appointment to begin July 1, 2026, renewable for a second year based on mutual agreement. Basic Qualifications A Ph.D. in economics, public policy or a closely related field. All
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.) Complete instructions are available at the Interfolio Help Center . Contact Information Jennifer Shephard FAS Social Science Division University Hall 3 South Harvard University Cambridge MA 02138 Contact
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Details Title Postdoctoral Fellow in Soft Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description The Wood Lab is seeking a
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Qualifications Ph.D. or M.D./Ph.D. in areas such as bioengineering, biochemistry, cell or computational biology or related fields Additional Qualifications CV Research summary of PhD work Cover letter describing
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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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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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling