Sort by
Refine Your Search
-
will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
-
challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. Position Function This full-time Postdoctoral Associate will lead research at the intersection
-
and the Environment, within the Ashley School of Global Development and the Environment, invites applications for a Postdoctoral Associate to lead the development, implementation, and assessment
-
of Biological and Environmental Engineering at Cornell University is looking for postdoctoral associate to support, lead and invent projects at the intersection of sustainable energy, synthetic biology, physics
-
of funds. The successful candidate will lead and contribute to projects in one or more of a variety of topics, such as gamma-ray bursts, supernovae, and fast blue optical transients. The applicant will have
-
to lead independent research on fungal pathogens of field crops, with emphasis on corn and soybean. The overall purpose of the position is to generate publishable research that advances pathogen biology
-
community organizations to grow native plants, conserve ecosystems and support native pollinators. To this end, the Research Assistant (RA) will lead a short community-based study of barriers and facilitators
-
will: Develop, train, validate, and benchmark AI/ML models using large-scale, real-world datasets and systems. Lead and participate in research activities with Professor Eilyan Bitar and collaborating
-
. The Postdoctoral Associate will lead the preparation of research manuscripts for submission to peer-reviewed journals and present findings at academic and professional conferences. Additional responsibilities
-
from several federally funded projects that have been recently completed. The Postdoctoral Associate will have the opportunity to lead efforts to analyze several large, rich corpuses collected/built via