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grant DTRA24C-001

Machine Learning Models for Predictive Engineering and Optimization of Biomining Essential Resources

This grant opportunity seeks to develop a computational framework that integrates synthetic biology, biomining, and AI/ML to facilitate the extraction and recovery of essential materials for high-tech and clean energy sectors. The project aims to develop scalable software that can engineer microbial consortia and enzymes to selectively degrade targeted materials like metals and minerals in a m…

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Advanced Computing and Software; Biotechnology\n\nOBJECTIVE: Produce a viable framework for engineering designs using approaches in synthetic biology, biomining, and AI/ML that guide selective extraction and recovery of essential resources used in high…

Funding Source

Agency: Defense Threat Reduction Agency

Dates

Open for Submission: September 18, 2024
Application Window Closes: October 16, 2024
Opportunity Released: August 21, 2024

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