Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of an undergraduate degree in a related field. Training in causal inference and/or machine learning methods Effective oral and written communication skills Outstanding academic credentials and intellectual creativity
-
research experience. Research track record should be demonstrated via prior publications in relevant venues in psychology, cognitive science, education, or human-computer interaction. Knowledge and expertise
-
strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning
-
Epidemiology, Causal Inference, and EHR Data Integration Applications are invited for a postdoctoral fellow position in cancer epidemiology to join Dr. Summer Han’s research group in the Stanford Center
-
Stanford University, Department of Statistics Position ID: Stanford -Statistics -ASSTPROF2526 [#30392] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Stanford
-
-scale, federated data analysis and integration. Scientific Visualization Workflows: Develop and automate workflows to generate scientific visualizations (e.g., ATAC-seq tracks for IGV) that compare
-
Stanford University, Statistics Position ID: StanfordStatistics -AP202526 [#26866] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Stanford, California 94305
-
tracking, and refurbishing activities related to the physical environment and building systems. This is an individual contributor role. In this role, you will: Oversee, coordinate and manage the day-to-day
-
Stanford University, Department of Psychology Position ID: Stanford -Psych -AP [#30393] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Stanford, California 94305
-
applicants for a non-tenure track Stein Fellow position, for two years with possible extension to three years. The Stein Fellowship is designed to be a career building step for new scholars. Our intention is