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interest in the use of machine learning techniques to enable new analysis strategies, as well as the application of deep understanding of the detector to enable novel physics studies. The group also has a
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: • PhD in Electrical & Computer Engineering, Computer Science, Biomedical
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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
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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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on performance and availability of funds. Applicants must have a PhD in mechanical engineering, and experience with computational heat transfer and machine learning for heat transfer, especially radiation
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architectures • Reconfigurable intelligent surfaces • Machine learning for wireless communications • Hardware-constrained signal processing for wireless communications
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following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph