This interagency program between NSF and NIH supports innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical research, which can only be achieved by well-coordinated, convergent, inter-disciplinary approaches that draw from multiple domains of computer and information science, engineering, mathematical sciences and the biomedical, social, behavioral, and economic sciences. NSF Program Solicitation: NSF 21-530
The K25 award provides support and “protected time” for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research.
The K25 award provides support and “protected time” for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research.
The K25 award provides support and “protected time” for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research.
The purpose of this Funding Announcement is to encourage applications proposing the analysis of the Adolescent Brain Cognitive Development (ABCD) Study public use dataset to increase knowledge of adolescent health and development.
This funding opportunity supports genomic resources that are crucial for basic research, disease studies, model organism studies, and other biomedical research.
This funding opportunity announcement is designed to support biomedical knowledgebases. Biomedical knowledgebases should have the primary function to extract, accumulate, organize, annotate, and link growing bodies of information related to core datasets.
This funding opportunity is designed to support biomedical data repositories. Biomedical data repositories should have the primary function to ingest, archive, preserve, manage, distribute, and make accessible the data related to a particular system or systems.
Source: https://www.niehs.nih.gov/research/scientific-data/funding/index.cfm