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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops
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. The postdoc will integrate the data from transcriptomics, metabolomics, and culturomics studies conducted in the lab and use several functional genomics approaches to determine the function of these candidate
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physical environments. This position focuses on research at the intersection of computer graphics, generative AI, and robotics, encompassing topics such as generative modeling, reinforcement learning, multi
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information about the Department of Mechanical Engineering, please visit https://www.me.ucr.edu/ . Additional details regarding postdoctoral studies at UC Riverside can be found at https://graduate.ucr.edu