Neural Networks for Contaminant Detection and Classification

Environmental Biotechnology › Machine Learning Bioremediation Strategy Research

Neural Networks for Contaminant Detection and Classification

Interns will build deep learning models to identify and classify different types of environmental contaminants from spectroscopic, chromatographic, or genomic data. They will develop image recognition or signal processing neural networks to automate contamination monitoring and support real-time decision-making in bioremediation processes.

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