Sort by
Refine Your Search
-
Listed
-
Field
-
, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
-
system to make critical inferences and reliably transmit data. Detection accuracy is then enhanced using a sub-sea digital twin, which contextualizes the data in terms of physical principles and outputs
-
of causal inference. The position provides opportunities to participate in rigorous, quantitative research that tries to shed light on how individuals and families navigate disease and the healthcare system
-
. The expected base pay range for this position exceeds Stanford guidelines. Required Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference