-
are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
-
Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
-
academic projects focused on substance use and mental health treatment need, use, and related outcomes across the life course. Projects include examining multi-level drivers of health and other exposures
-
linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and architecture/design, the postdoctoral fellow will be intimately involved in all
-
environment group at CUPR and will contribute research skills and training at the intersection of engineering and public policy with knowledge and experience of buildings and energy systems. Specific postdoc
-
category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http