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, building, and iterating prototypes that take their real-world context seriously, including who uses them, under what conditions, and with what consequences. Working hands-on with large language models
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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability
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and a genuine interest in applying AI to real-world healthcare challenges are required. Prior experience integrating Large Language Models (LLMs) into applications, including prompt engineering, API
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