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

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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…

Source

Agency: Defense Threat Reduction Agency

Dates

Open for Submission: September 18, 2024

Application Window Closes: October 16, 2024

Opportunity Released: August 21, 2024

Keywords

biomining

synthetic biology

machine learning

predictive engineering

optimization

computational methods

high-tech sectors

environmental monitoring

targeted material recovery

AI/ML models

Supporting Links

Documents

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