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Machine Learning Techniques for longitudinal data analysis. An understanding of class biases, model explainability (ex: Shaply), data augmentation techniques, missing data handling techniques, validation
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to work on a project at the intersection of deep learning and computer security/privacy, under the direction of Dr. Michael Wu. The project seeks to investigate security and privacy problems in deep
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related field. Degree must be conferred by start date. Preferred Qualifications Experience with multimodal data integration and machine learning techniques. FLSA Exempt Full Time/Part Time Full Time Number
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to estimate ET water loss, while analyzing various other existing ET products. Advancing hydrological models (e.g., the National Water Model, land surface models) with machine learning techniques to improve
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highly motivated Postdoctoral Research Associate with background on AI and machine learning for working on multi-modal image synthesis, including SAR, SONAR, and EO/IR. The successful candidate will work