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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why
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, transparency, human oversight, uncertainty, and appropriate use. Learning Objectives: Through this opportunity, you will gain knowledge and practical experience at the intersection of artificial intelligence
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. This creates large uncertainties when modelling orchard water and nutrient fluxes as well as deep percolation below the root zone, critical topics in semi-arid, agriculturally productive regions such as
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically