160 computer-programmer-"the"-"FEMTO-ST"-"RAEGE-Az"-"DAAD" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
secondary affiliation with the Harvard Medical School Department of Microbiology and are part of the Harvard Program in Virology. · Ideal applicants will be expected to develop a research program that is
-
Qualifications: A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Contact Information: For more details on our research and recent publications, see the Geometric
-
Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical
-
the lab. Also describe your suitability for the position, specifically referring to the qualifications listed above. Contact Information Katy O’Neill, Program Manager Mental Health for All Lab HMS Global
-
Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
-
, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
-
causal identification methods. There are no teaching requirements for these open positions. Basic Qualifications: A Ph.D. or equivalent degree in computer science, statistics, economics, management science
-
history that has taken place largely in Pakistan, and plan to return to Pakistan upon completion of the fellowship. Basic Qualifications Applicants must hold a PhD. Additional Qualifications Special
-
Qualifications A Ph.D. or equivalent degree in computer science, statistics, economics, management science, information systems, operations, or other related quantitative and/or social science domains. PLEASE NOTE
-
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