Sort by
Refine Your Search
-
contribute to research on topics such as Human-Centered AI, Community-Centered AI, Responsible AI, AI and Culture, and AI Safety, with particular attention to the impacts of AI technologies in global and
-
that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and
-
Communities: Smart Integrative Energy Systems, Smart Mobility, and Transportation Systems. Urban Technology & Infrastructure Systems: Urban Technologies, Urban Analytics, Urban Systematics. Systems Thinking
-
environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple
-
, and how their failure contributes to neurodegeneration. We offer you the opportunity to pursue high quality basic research with secure funding and excellent resources in a vibrant community of
-
Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University
-
, updated 2025/12/16) Position Description: Apply Position Description Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health
-
approach topics from the perspective of city planning, urban governance, community and civil society engagement, urban design, architecture to develop place-based, scalable approaches to housing security and
-
the perspective of city planning, urban governance, community and civil society engagement, urban design, architecture to develop place-based, scalable approaches to housing security and/or universal access to safe
-
approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending