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Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring
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extended to its full duration. Preferred Qualifications Experimental skills in batteries and power electronics, as demonstrated by application materials. Knowledge of machine learning, as demonstrated by
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Self-Help Cognitive-Behavior Therapy (CBT-gsh) as a part of an ongoing research study and an NIH-funded clinical trial designed to develop a mobile-health app that uses machine learning to predict
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physics data analysis, and potentially including machine learning training and/or development, detector design, upgrade work, service work, development and operation, event simulation, potentially other CMS
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learning, data science and/or human subjects surveying methods as evidenced in application materials. NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD conferred