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will develop and apply cutting-edge methods in predictive and causal modeling for age-related macular degeneration (AMD), a primary cause of irreversible vision loss worldwide. This work will involve
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
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programs and public health prevention efforts (i.e., policy and nutrition assistance programs). Minimum Qualifications A PhD in public health, implementation science, behavioral science, or other relevant
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will develop andapply cutting-edge methods in predictive and causal modeling for age-related maculardegeneration ( AMD ), a primary cause of irreversible vision loss worldwide. This work willinvolve the
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-of-the-art methods for evaluating treatment effects from randomized and observational data sources that are subject to multiple forms of bias due to, for example, missingness, censoring, irregular assessment