15 condition-monitoring-machine-learning Postdoctoral positions at The University of Arizona
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Sign In Create Profile Postdoctoral Research Associate-Computer and Information Research Tucson, AZ, United States | req23101 Apply Now Share Save Job Posted on: 6/11/2025 Back to Search
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Associate to join the Artificial Intelligence (AI) & Machine Learning (ML) Lab, under the direction of Dr. Bo Liu. The team is a collaborative partnership between nine Universities across the US led by the
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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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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req22541 Apply Now Share Save Job Posted: 5/2/2025 Back to Search
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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
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profiles, to identify treatment response patterns, subtypes, and critical intervention windows that reduce Alzheimer's risk Disease (AD) risk. This position will involve applying machine learning, deep
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imbalances. A fundamental understanding of classical Machine Learning Techniques for longitudinal data analysis. An understanding of probability theory and basic frequentist statistical approaches
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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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ecology in Pieris rapae butterflies. Stressful conditions, –including extreme climate and the shortage of food– can heighten resource allocation tradeoffs between competing traits, like growth vs. flight vs
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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