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Award information

will be invested in proposals submitted to this solicitation in each year of the solicitation, subject to the availability of funds and the quality of the proposals received.

Estimated number of awards description –

per year, subject to the availability of funds.

Projects will be funded for up to four years for a total of $1,200,000 ($300,000 per year).

Proposals may only be submitted by certain types of PIs. Please see solicitation for details. Limit on number of proposals per PI or co-PI description –

In each annual competition, an investigator may participate as Principal Investigator (PI), co-Principal Investigator (co-PI), Project Director (PD), Senior/Key Personnel or Consultant in no more than two proposals submitted in response to each annual deadline in this solicitation. These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently. In

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NSF 24-131

September 17, 2024

Dear Colleagues:

The U.S. National Science Foundation’s (NSF) Directorate for Biological Sciences (BIO) encourages the submission of proposals that advance biological research using Artificial Intelligence/Machine Learning (AI/ML) or AI/ML methods using biological data and systems.

To tackle grand challenge problems across the biological sciences, researchers increasingly are turning to the development and adoption of AI/ML methods. AI/ML includes any computational tool that mimics intelligence and the ability to learn from data to derive inferences. These methods are powerful tools for analyzing, synthesizing, and integrating large and complex datasets, developing predictive models, and designing and deploying bio-inspired innovations. Unique aspects of information processing in biological systems and the complexity of biological data can also inform and inspire new developments in AI/ML. In addition, AI-enabled research requires a trained workforce

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Job ID: 245337

Assistant Professor/Associate Professor/Professor of Practice
Oklahoma State University <!– ATTACHED PICTURES:   –>

Oklahoma State University (OSU) in Stillwater, Oklahoma, is inviting highly motivated and qualified candidates to apply for an open-rank, career-track faculty (CTF) position within the School of Electrical and Computer Engineering (ECE). This position, available at the Assistant, Associate, or Full Professor of Practice level, involves renewable, non-tenure track appointments that support OSU’s programs and initiatives as part of the General Faculty at OSU. The assigned rank will be based on the candidate’s teaching experience and technical qualifications within their professional field. Primary responsibilities include teaching lab-intensive undergraduate and/or graduate courses

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