12 phd-software-engineering-"https:"-"https:" Postdoctoral positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Details Title Postdoctoral position in AI for Engineering Applications School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description
-
Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-US citizens with a valid US visa are
-
, education, or pastoral contexts Comparative or cross-traditional perspectives on technology and religion Historical religious responses to emerging technologies and their relevance to AI AI, spirituality
-
multi-photon), viral vectors, protein engineering, mouse models, and multi-omics analyses. For further information on the lab, please visit: www.shigroup.org We welcome applications from postdoctoral
-
have received (or be in the final stage of obtaining) a PhD in sociology, social psychology, economics, demography, political science, public health, gender studies, ethnic studies, or a related area in
-
of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who
-
Details Title Postdoctoral Scholar in Applied Physics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Physics Position Description A postdoctoral
-
in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
-
to the study of comparative zoology, which are known as Putnam Expedition Grants. Filed under: Postdoc Opportunities See also: Science and Engineering Harvard Travel Expenses Admin login Copyright © 2026
-
astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a