Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
frameworks. Course work such as in causal inference or implementation science will be encouraged. Basic Qualifications Applicants should have a PhD or equivalent in epidemiology, economics, public health
-
computational research skills in one of the following areas: Economics: PhD in Economics or Strategy with expertise in causal inference, econometrics, experimental design, industrial organization, or applied
-
Statistics , Biostatistics , Casual Inference , Causal Inference , Data Science , Engineering , Life Science , Machine Learning , Management , Science , Social Science , Statistics Economics Computer
-
Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
-
these policies impact households’ housing and location choices, as well as housing developers’ decisions to build new housing. The work will combine reduced-form casual inference techniques with structural
-
these policies impact households’ housing and location choices, as well as housing developers’ decisions to build new housing. The work will combine reduced-form casual inference techniques with structural
-
Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR/clinical trial data Additional Qualifications: With this appointment, you are
-
, computational social science, and causal inference. Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct. Projects you will work on include, but are not limited to: AI