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BIO-wide Virtual Office Hours: COVID-19 Response Update | NSF - National Science Foundation

March 2, 2021 11:00 AM  to  March 2, 2021 12:00 PM https://nsf.zoomgov.com/webinar/register/WN FJQ4aLRGSKuTd2gOQgiH7A As noted in a recent announcement and in order to answer any questions the community may have about BIO s efforts in response to the COVID-19 pandemic or the support available to the wider community, we hosted a BIO-wide virtual office hour on Tuesday, March 2 from 11AM to 12PM Eastern. A recording of the event (with an integrated transcript) is available at the link below:

Rommie Amaro- Computational Microscopy of SARS-CoV-2 | NSF - National Science Foundation

March 4th, 2021 2:00pm-3:30pm March 4, 2021 2:00 PM  to  March 4, 2021 3:30 PM Virtual Meeting Talk Abstract: I will discuss our lab’s efforts, together with collaborators, to understand the SARS-CoV-2 virus in atomic detail, with the goals to better understand molecular recognition of the virus and host cell receptors, antibody binding and design, and the search for novel therapeutics.  I will focus on our studies of the spike protein, its glycan shield, its interactions with the human ACE2 receptor, our efforts to model the SARS-CoV-2 virion, and escape variants.   Bio: Rommie E. Amaro holds the Distinguished Professorship in Theoretical and Computational Chemistry at the Department of Chemistry and Biochemistry at the University of California, San Diego. She received her B.S. in Chemical Engineering (1999) and her Ph.D. in Chemistry (2005) from the University of Illinois at Urbana-Champaign. Rommie was an NIH

Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL) | NSF

March 5, 2021 1:00 PM  to  March 5, 2021 2:00 PM Eastern Standard Time (New York, UTC/GMT-05:00) The management team for the NSF program Stimulating Collaborative Advances Leveraging Expertise in the Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL) (NSF 21-561) will host a webinar to provide an overview of the program. Deep learning has met with impressive empirical success that has fueled fundamental scientific discoveries and transformed numerous application domains of artificial intelligence. Our incomplete theoretical understanding of the field, however, impedes accessibility to deep learning technology by a wider range of participants. Confronting our incomplete understanding of the mechanisms underlying the success of deep learning should serve to overcome its limitations and expand its applicability.

Astronomy and Astrophysics Advisory Committee (AAAC) | NSF - National Science Foundation

February 24, 2021 12:00 PM  to  February 24, 2021 4:00 PM Zoom (dial-in info. below) The Astronomy and Astrophysics Advisory Committee is a federal advisory committee chartered under the Federal Advisory Committee Act, which resulted from one of the primary recommendations of the Presidential Committee on the Organization and Management of Research in Astronomy and Astrophysics (COMRAA). The purpose of this meeting is to provide advice and recommendations to the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA) and the U.S. Department of Energy (DOE) on issues within the field of astronomy and astrophysics that are of mutual interest and concern to the agencies. The Committee will hear presentations of current programming by representatives from NSF, NASA, DOE and other agencies relevant to astronomy and astrophysics; to discuss current and potential areas of cooperation betwe

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