All,
Some of you may be interested in exploring this opportunity. Please
see announcement below.
Thanks to Joe Pancrazio for sending this.
Happy holidays to all!
Danny
**********************************************************************************************
Dr. Daniel A. Menasce
Senior Associate Dean and Professor of Computer Science
Volgenau School of Engineering,
Long and Kimmy Nguyen Engineering Building, Room 2510, MS 5C8
George Mason University
4400 University Dr.,
Fairfax, VA 22030, USA
www.cs.gmu.edu/faculty/menasce.html
Begin forwarded message:
>
>
>
> -----Original Message-----
> From: NIBIB Listserv of researchers [mailto:[log in to unmask]
> ] On
> Behalf Of NIBIB Info
> Sent: Wednesday, December 21, 2011 8:30 AM
> To: [log in to unmask]
> Subject: DARPA Funding Opportunities
>
> DARPA - Funding Opportunity
>
> (Full Proposals Due by 4:00pm ET, January 19, 2012)
>
>
>
>
>
> The DARPA Young Faculty Award (YFA) program aims to identify and
> engage
> rising stars in junior faculty positions in academia and expose them
> to
> Department of Defense (DoD) needs. In particular, YFA will provide
> high-impact funding to the elite junior faculty early in their
> careers in
> order to develop their research ideas in the context of DoD issues.
> The long
> term goal of the program is to develop the next generation of academic
> scientists, engineers, biologists and mathematicians in key
> disciplines of
> interest to DARPA who will focus a significant portion of their
> career on
> DoD and National Security issues.
>
>
>
> This Research Announcement (RA) solicits single investigator
> proposals for
> research and development in the areas of Physical Sciences,
> Engineering,
> Mathematics, Medicine, Biology, Information and Social Sciences of
> interest
> to DARPA's Defense Sciences Office (DSO), Microsystems Technology
> Office
> (MTO), and Information Innovation Office (I2O).
>
>
>
> Specific topic areas below are described in further detail in the
> attached
> document.
>
> 1. Quantum Science and Technology
>
> 2. New Physical Methods for Applied Biology
>
> a. Modulation and measurement of biological networks and signaling
> pathways
>
> b. Hybrid biotic-abiotic interfaces
>
> c. Minimally invasive recording and modulation
>
> 3. Mathematics
>
> 4. Strongly Correlated Materials
>
> 5. Predictive Materials Science:
>
> 6. New Engineered Materials
>
> 7. Advanced Electronics
>
> 8. MEMS/NEMS
>
> 9. Photonics and Lasers
>
> 10. Digital Direct Manufacturing
>
> 11. Neuroscience
>
> a. Operational Neuroscience:
>
> b. Brain-Machine Interfaces (BMI):
>
> 12. Computational and Quantitative Social, Decision, and Behavioral
> Sciences:
>
> 13. Robotics
>
>
>
>
>
> To join or leave the NIBIB Listserv, please visit
> http://list.nih.gov/archives/nibib_listserv.html and complete the
> online
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