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, ● Methods for heterogeneous treatment effects estimation, ● Methods for multiple exposures, multiple outcomes, ● ML and AI methods for causal inference, ● Bayesian causal inference, ● methods
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal. #LI-KM2 Work Format Details This position has
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· Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications Special Instructions · Duration: This is a one-year term position from
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· Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications Special Instructions · Duration: This is a one-year term position from
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large-scale biological datasets. You will be directly mentored by a postdoctoral fellow, Dr. Josh Tycko, providing exposure and advice for the research career track. You will benefit from the rich
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statistical modeling and inference Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage. Additional Qualifications Prior experience
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track record of peer-reviewed publications commensurate with career stage. Additional Qualifications Prior experience with one or more of: ● Health claims data, EHRs, or other large-scale health
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. Candidates must have received their PhD on or after September 15, 2024, or be on track to complete all PhD requirements by the expected start date of October 15, 2026. Demonstrated expertise in modern AI/ML
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on track to complete all PhD requirements by the expected start date of October 15, 2026. Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with frameworks such as