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discipline; proficiency in scientific programming; and demonstration of experience in quantitative research. PREFERRED: Experience in inverse modelling; experience of using 3D chemical transport
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. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu. REQUIRED : Ph.D. in a relevant discipline; proficiency in scientific programming; and
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, analytic planning, and interpretation of findings. 10. Mentor and support students in epidemiologic methods, statistical programming, and scientific writing. RESEARCH ENVIRONMENT The Postdoc will join
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causal inference methods to observational data. Strong quantitative and statistical programming skills in Stata, SAS, and/or R. Experience with SQL for database management and querying large datasets is