Publisher
source

University of Florida

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Postdoc Associate in Biomedical Informatics, Machine Learning, and NLP for EHR Data University of Florida in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 28, 2026

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Country

United States

University

University of Florida

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Keywords

Computer Science
Data Science
Biomedical Engineering
Information Technology
Deep Learning
Natural Language Processing
Data Mining
Medical Science
Software Development
Statistics
Bioinformatic
Electronic Health Record
Large Language Models
ML

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About this position

University of Florida is advertising a Post Doc Associate position at the Main Campus (Gainesville, Florida, United States) in the area of biomedical informatics, computer science, machine learning, natural language processing, large language models, and electronic health records (EHRs).

The role focuses on developing large language models and related methods/tools to make better use of EHR data, applying machine learning and deep learning to solve critical medical problems, and implementing research software for interdisciplinary collaboration. The postdoc will work with informaticists, programmers, information quality experts, statisticians, and researchers, and is expected to contribute to scientific reports, conference papers, journal articles, data processing, and collaborative projects.

Eligibility: A Ph.D. in biomedical informatics, computer science, or a related field is required. Preferred experience includes NLP, LLMs, machine learning, data mining, software development, Python/Java, and PyTorch. Strong communication skills are also preferred.

Funding: This is a full-time, time-limited postdoctoral staff position with an expected salary of $61,008–$65,000.

How to apply: Submit the application through the UF jobs portal, and upload a cover letter and resume. Applications close on 2026-08-28.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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