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training and experience; Proven knowledge in field of research; Experience in a variety of research techniques/methods and follow-up data collection; Knowledge of research procedures and protocols gained
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learners, both ambitious and team players, have a strong research publication record, and high-level understanding of programming and computer modeling. This postdoc position offers a motivated researcher an
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for Biomedical Informatics Research at Stanford University. This position emphasizes conducting real-world evidence studies using various causal inference methods (e.g., target trial emulation) to examine
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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resident at the PGY 2 or PGY 3 level. The applicant must be enrolled in an ACGME-accredited General Surgery program. The estimated annual salary for the position is $73,800. This is an American College
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causal inference methods to examine efficient surveillance and treatment strategies using an integrated database of electronic health records from multiple healthcare systems. Applications are invited
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writing, medical education, curriculum design and implementation, program evaluation, and simulation as a teaching method. Opportunities to be involved in the administrative side of sim center operations