Sort by
Refine Your Search
-
computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
-
operates at the intersection of epidemiologic theory, quantitative methods, and translational science, with a strong emphasis on rigorous study design, reproducible analytics, and integration of biological
-
: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Computer Science / Augmented Reality , Programming Languages Electrical and Computer Engineering / Machine Learning Appl
-
uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
-
: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Electrical and Computer Engineering / Engineering Physics , Quantum Engineering , Machine Learning Appl Deadline: 2026/10/01 04
-
digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
-
The Department of Emergency Medicine and the Global Emergency Medicine Innovation and Implementation Research (GEMINI) Center are recruiting a Postdoctoral Associate to the Division of Translational
-
science communication. This position will work on designing and deploying creative informal education resources aimed at increasing quantum awareness among learners of all ages. The position will primarily
-
/ ) research examines learning and conceptual change in young children with a focus on social learning and social cognition. Research topics include: mechanisms of causal learning, the developmental origins
-
to climate-focused educational initiatives across the university. About the SCALES Postdoctoral Fellows Program The SCALES Postdoctoral Fellows Program is a newly launched cohort-based initiative designed