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- DAIR-3 (Data and AI-Intensive Research with Rigor and Reproducibility)
Description
The DAIR-3 project (Data and AI-Intensive Research with Rigor and Reproducibility) aims to train researchers in ethical issues in biomedical data science; data management, representation, and sharing; rigorous analytical design; the design and reporting of Artificial Intelligence (AI) models; generative AI; reproducible workflow; and assessing findings across studies. Additionally, the bootcamp also includes grant writing sessions and research collaboration discussions.
Participation in the training program is free of charge for qualified applicants. If the applicants apply for a scholarship, we will pay for travel, food, lodging. We have all levels of trainees in the program, from graduate students to full professors. Priority applications end by Jan 29; applications will be reviewed until all spots are filled.
More information at dair-3.org
Requirements
Graduate student, postdocs, or faculty in US institutions