An exciting postdoctoral opportunity is available at Indiana University under the supervision of Assistant Professor Xing He. The position focuses on integrating healthcare data using large language models (LLMs) and AI-driven agents to enhance data interoperability across hospitals and registries. This role is ideal for candidates passionate about health data science, artificial intelligence, and large-scale data integration.

The research will address challenges in health data interoperability, leveraging advanced AI solutions to improve the integration and utility of healthcare information. The successful candidate will join a collaborative environment at Indiana University, with connections to the Purdue University Weldon School of Biomedical Engineering and the University of Florida, as indicated by the supervisor's background.

Applicants should have a PhD in biomedical engineering, computer science, medical informatics, or a related field. Experience with AI, LLMs, and healthcare data integration is highly desirable. Strong programming and data analysis skills are preferred. The position offers an opportunity to make a significant impact in the field of health data science and biomedical engineering.

Funding details are not specified, but as a postdoctoral position, it is expected to include a salary or stipend. Interested candidates should contact Xing He or apply via the LinkedIn post for further instructions. No application deadline is mentioned.