-
deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
-
deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
-
of neural activity in vivo or in vitro and an interest in learning to apply these techniques to the developing brain. Developmental neuroscientists interested in learning to address early brain activity
-
Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
-
Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
-
health systems, organizations, and communities. On an annual basis, the program selects 20 fellows from the U.S. and the world for blended in-person and online learning, coaching, mentoring, and team-based
-
: Please instruct recommenders to send letters to pcart@gwu.edu, with subject heading:“[Applicant Name] – P-CART Letter of Recommendation” Appointments are limited-term and are designed for those who have