NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed)
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The National Institutes of Health, through the National Library of Medicine, is soliciting applications under RFA-LM-28-001 for the establishment or renewal of innovative predoctoral and postdoctoral training programs. These programs aim to develop the next generation of researchers specializing in biomedical informatics, data science, and artificial intelligence/machine learning to address complex health challenges through interdisciplinary computational approaches. The agency intends to commit an estimated total of 17.1 million dollars to support between 19 and 27 awards. Applications are due by February 11, 2027, and must be submitted via Grants.gov, requiring active SAM registration, a Unique Entity Identifier, and eRA Commons accounts. Award evaluation is based on the program's ability to produce a skilled biomedical research workforce, ensure inclusivity and access for diverse participants, and implement an innovative curriculum guided by established evaluation frameworks such as CIPP or Kirkpatrick. Key requirements include a signed institutional commitment letter, a detailed research training program plan, and a comprehensive plan for the Responsible Conduct of Research that includes at least eight contact hours of face-to-face instruction. Additionally, awardees must adhere to strict cybersecurity standards, including the development of an incident response plan and the notification of HHS agencies within 48 hours of any cybersecurity incident. The grants are subject to federal regulations under 42 CFR 63A and 45 CFR Part 75 regarding indirect costs.
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The National Library of Medicine (NLM) invites applications for innovative predoctoral and postdoctoral training programs that prepare the next generation of researchers in biomedical informatics, data science, and artificial intelligence/machine learning (AI/ML). NLM emphasizes cutting-edge, forward-looking training experiences that equip trainees to address complex health and biomedical challenges through advanced computational approaches. Applications may propose the creation of new training programs or the renewal of existing NLM-supported programs. These programs are designed to meet the growing demand for researchers with deep expertise in biomedical computing, data science, and AI/ML, with clear relevance to health and biomedical research. Recognizing the inherently interdisciplinary nature of these fields, NLM seeks programs that integrate methods and perspectives across disciplines to advance biomedical informatics, data science, and AI/ML.
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