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We are seeking talented and mission-driven machine learning researchers to join the ACES team and work with Dr. Chirayath to lead benthic habitat mapping efforts using the NASA NeMO-Net tool and ACES remote sensing datasets.
Previous experience with machine learning for semantic segmentation and deep learning and convolutional neural network architectures is required at the graduate level (MSc or PhD). Familiarity of working with remote sensing airborne and satellite datasets as well as 3D datasets is required.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
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