Funding Opportunities
Training in Computational Neuroscience, From Biology to Model and Back Again. See http://grants.nih.gov/grants/guide/notice-files/NOT-DA-15-081.html for more details.
All active funding opportunities can be found under http://grants.nih.gov/grants/guide/search_results.htm?scope=pa&year=active
Research grants are provided for teams of scientists from different countries who wish to combine their expertise in innovative approaches to questions that could not be answered by individual laboratories. Emphasis is placed on novel collaborations that bring together scientists preferably from different disciplines (e.g. from chemistry, physics, computer science, engineering) to focus on problems in the life sciences.
The research teams must be international. The principal applicant must be from one of the eligible countries. However, other participating scientists and laboratories may be situated anywhere in the world. Applicants must submit a letter of intent to apply for a research grant via the HFSP web site with a deadline at the end of March, and after review, selected teams will be invited to submit a full application.
Two types of Research Grant are available: Young Investigators' Grants and Program Grants. For more details, see http://www.hfsp.org/funding/research-grants
Deadlines: Applications will be made via the HFSP extranet website.
Pioneer Awards provide $2.5 million in direct costs over 5 years and are open to scientists at any career stage. New Innovator Awards provide $1.5 million in direct costs over the same period and are for new investigators who have not received an NIH regular research (R01) or similar grant. See https://commonfund.nih.gov/newinnovator/ for more details.
The emphasis of this joined US-German initiative is on innovative interdisciplinary collaborative research between experimental neuroscientists and computational scientists to make significant advances in the understanding of nervous system function and mechanisms underlying nervous system disorders.
Detailed information can be found at http://www.nsf.gov/pubs/2011/nsf11505/nsf11505.htm
The emphasis of this initiative is on multiscale (>1 biological scales, e.g., genetic, cellular, systems, behavior), predictive computational modeling and models of health and disease states.
For more details, see http://grants.nih.gov/grants/guide/pa-files/PAR-11-203.html
Guidance for the Computational Neuroscience Community. The NSF Faculty Early Career Development Program (CAREER) offers five-year awards for junior faculty for integrated research and educational activities. CAREER grantees may also be nominated for the Presidential Early Career Awards for Scientists and Engineers (PECASE). For further information about program goals, eligibility requirements, and merit review criteria, please visit http://www.nsf.gov/career.
As part of the application process, CAREER applicants need to select a "unit of consideration," the division and program area responsible for reviewing the proposal. Proposals in computational neuroscience will be reviewed primarily by two divisions of NSF:
The CAREER program accepts proposals in all research areas funded by NSF. Other closely related areas include cognitive neuroscience (SBE/BCS, Michael Smith, [email protected]), artificial neural networks and learning (ENG/ECS, Paul Werbos, [email protected]), biologically inspired computing and computational biology (CISE/CCF, Mitra Basu, [email protected]), mathematical biology (MPS/DMS, Mary Ann Horn, [email protected]), and bioinformatics (CISE/IIS, Sylvia Spengler, [email protected]
Each of these programs has its own specific interests and emphases. Please contact the listed program officers if you have questions about which program(s) are most appropriate for review or co-review of your proposal. See full announcement at http://www.nsf.gov/crssprgm/career/contacts.jsp
Division of Integrative Organismal Systems : Neural Systems
The Neural Systems Cluster focuses on how complex functions arise from communication among the cellular elements of the nervous system and from interactions with other physiological systems and the environment. The Cluster encourages a systems biology approach to understand how emergent neural properties such as robustness, adaptability and resilience arise in the context of environmental, genetic and evolutionary influences. See full announcement at http://www.nsf.gov/pubs/2013/nsf13506/nsf13506.htm
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