OARS funding Biomed

"JobsOhio is hosting a town hall meeting to discuss initiatives and strategic assets within the Dayton/Western and Cincinnati/Southwest Ohio region. Join us Thursday, December 17 at 1:30 - 3 p.m. to learn more about our strategy and objectives as well as introduce the advisors and leadership for this sector. JobsOhio's President and CEO, J.P. Nauseef and Managing Director of Military and Federal, Elaine Bryant and will be joined by notable guest speakers who will offer their expertise and alignment on the statewide initiative."

For FY2021, Artificial Intelligence (AI) and Quantum Information Science and Engineering (QISE) have been added to the national priority areas in which the NRT Program encourages proposals. We seek proposals on any interdisciplinary research theme of national priority, with special emphasis on AI and QISE and the six research areas within NSF's 10 Big Ideas. The NSF research Big Ideas are Harnessing the Data Revolution (HDR), The Future of Work at the Human-Technology Frontier (FW-HTF), Navigating the New Arctic (NNA), Windows on the Universe: The Era of Multi-Messenger Astrophysics (WoU), The Quantum Leap: Leading the Next Quantum Revolution (QL), and Understanding the Rules of Life: Predicting Phenotype (URoL). Proposals that align with one of these designated priority areas should contain a title to reflect that alignment, as described in the program solicitation (e.g., NRT-AI: title, NRT-HDR: title, NRT-QL: title). Proposals may be submitted under two tracks (i.e., Track 1 and Track 2). Track 1 proposals may request a total budget (up to five years in duration) up to $3 million for projects with a focus on STEM graduate students in research-based PhD and/or master's degree programs. Track 2 proposals may request a total budget (up to five years in duration) up to $2 million; NSF requires that Track 2 proposals focus on programs from institutions not classified as Doctoral Universities: Very High Research Activity (R1). Requirements for Track 1 and Track 2 are identical.

This Challenge encourages college and graduate students to develop innovative information dissemination tools, instruments, or devices that help spread evidence-based information about SCD, so that people living with the disease can live better, healthier lives.

Our goal is to connect businesses and organizations that are best-positioned to address critical needs during this public health crisis, often in innovative or unexpected ways. Then we support those businesses to do what they do best: scale products and services that can help the American public. In the immediate term, we are keenly focused on working with companies-large and small-to spur development of personal protective equipment for medical and non-medical use, novel testing solutions, widely-accessible therapeutics and health services to address the needs of underserved communities. As the crisis evolves, we will continue to be responsive by tackling other urgent priorities.

The Dreyfus program for Machine Learning in the Chemical Sciences and Engineering, initiated in 2020, provides funding for innovative projects in any area of Machine Learning (ML) consistent with the Foundation's broad objective to advance the chemical sciences and engineering. The Foundation anticipates that these projects will contribute new fundamental chemical insight and innovation in the field.