NIH Parent Funding Opportunity Announcements (FOAs)
Don't wait for special funding opportunities - apply to the NIH Parent Funding Opportunities - 3 times a year!
Don't wait for special funding opportunities - apply to the NIH Parent Funding Opportunities - 3 times a year!
The NIH Common Fund is accepting applications for the Community Partnerships to Advance Science for Society (ComPASS) Health Equity Research Hubs (Hubs).
The purpose of this Notice of Special Interest (NOSI) is to promote the availability of Mentored Clinician Scientist Research Career Development Awards (K08) applications in research areas covered by the NIH BRAIN Initiative®. This program will provide support and protected time (3-5 years) for clinicians to develop new and/or expand their expertise in intracranial human neuroscience research.
The AIMINGS AI for Precision Nutrition Pilot Program, part of the National Institutes of Health (NIH) Nutrition for Precision Health’s (NPH) Consortium, released a new funding opportunity. As the AI Center for the
This program supports the creation of a prototype Open Knowledge Network — an interconnected network of knowledge graphs supporting a very broad range of application domains. Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world.
The NIH Common Fund issued two new notice of funding opportunity announcements from the Common Fund Data Ecosystem (CFDE):
The NIH Common Fund issued two new notice of funding opportunity announcements from the Common Fund Data Ecosystem (CFDE):
Invasive surgical procedures offer the opportunity for unique intracranial interventions such as the ability to record and stimulate intracranially within precisely localized brain structures in humans.
This Funding Opportunity Announcement (FOA) seeks applications with limited scope proposing a set of planning activities that will lay the groundwork for a scientific project aimed at integrating complementary theories and methods to 1) develop, validate, and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the level of the organism, with synchronous capture of changes in the organism’s social or physical environment; and/or 2) develop computational methods that allow for integration of multidimensional behavioral and