116 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" positions at Princeton University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
-
of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations
-
equipped to solve complex challenges and drive technological progress. Partner With Us If your organization is interested in developing a fellowship partnership or hosting a Fellow, please contact us at gfsd
-
. The successful candidate will be expected to assist with the commissioning of a new shock tube facility and will conduct fundamental experimental research related to multiple ongoing projects, including
-
their doctorate in a related field no more than three years prior to the anticipated start date. Preference will be given to candidates not currently affiliated with Princeton University. Applicants must develop a
-
the Dean for Research of Princeton University. Despite a significant increase in policy experimentation during the last two decades, there has been little development in institutional experimentation
-
technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
-
international politics of economic development; the political economy of human security; the evolution and impact of international institutions; and the politics of international law and human rights policies
-
The condensed matter spectroscopy group at Princeton University invites applications for multiple Postdoctoral Research or more senior positions to work in experimental condensed matter physics with
-
) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune