-
constructs and within-person change, as well as spoken narrative data. The overarching goal is to characterize longitudinal trajectories of core computational constructs (e.g., reward learning, decision-making
-
. Warming is changing, and generally increasing, the emissions of methane from anaerobic systems, yet the production, consumption and transport pathways are poorly understood. In addition, interactions
-
validating EI measures and studying mechanisms of behavior change at scale. The postdoctoral associate’s primary responsibilities will include data preparation and management, advanced statistical analysis
-
on understanding how genetic variants impact human health, evolution, and disease. The lab seeks to answer a fundamental question remaining in biology: "how do genetic changes lead to functional changes
-
research, potentially changing the standard of care and impacting policy. Selected postdoctoral candidates will receive stipend support and may request training related expenses based on NIH policy