NIGMS Feedback Loop Blog – National Institute of General Medical Sciences
A catalyst for interaction with the scientific community
Lakshmi is trained in bioinformatics and leads data science activities including cloud computing, artificial intelligence, and machine learning. He also manages multicomponent grants supported through the Institutional Development Award (IDeA) and Native American Research Centers for Health (NARCH) programs.
The NIGMS Sandbox, a cloud-based learning platform that teaches students, researchers, and clinicians how to harness cloud technology for life sciences applications and research, has been featured in a special supplement of Briefings in Bioinformatics.
Continue reading “NIGMS Sandbox Provides Access to Data Science Learning Modules in the Cloud”UPDATE: The video and slides [PDF] for this webinar are now available.
We’re pleased to announce the availability of administrative supplements to develop cloud-based biomedical data science training modules (NOT-GM-24-006). The supplements are available to NIGMS awardees of the following programs:
UPDATE: The video and slides [PDF] for this webinar are now available.
Cloud computing provides access to the exponentially growing volume of biomedical research data, data analytic tools, and data storage capacity. If you’re interested in learning cutting-edge biomedical research methods and/or carrying out your own research on the cloud, we welcome you to an upcoming webinar aimed to help you start or enrich your cloud-computing journey:
Friday, June 23, 1:30-3:30 p.m. ET
Zoom meeting link
We’re pleased to announce that we’ve published two notices of special interest (NOSI) calling for applications to PAR-19-313, Centers of Biomedical Research Excellence (COBRE) Phase 1 (P20 Clinical Trial Optional), that focus on research on women’s health (NOT-GM-21-056) and data sciences (NOT-GM-21-062).
These NOSIs highlight the Office of Research on Women’s Health’s interest in supporting a meritorious application on women’s health, and the Office of Data Science Strategy’s interest in supporting a meritorious application on data science relevant to biomedical research. Applications for these NOSIs must be submitted in response to and meet all eligibility criteria of PAR-19-313.
Continue reading “Funding Opportunities: COBRE Phase 1 Applications for Women’s Health and Data Sciences Research”