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Field
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
that you help us to solve that problem! The objectives are to develop a world-wide accepted new standard for testing large systems in RC, by comparing the newest fast EM sensor systems, comparing performance
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position in statistics, machine learning, and data science. The postdoctoral researcher will be mentored by Professor Yiyuan She and will contribute to the development of innovative statistical methods and
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experience. Department Summary University Communications drives the University of Oregon’s strategic goals through the development and implementation of comprehensive communications and marketing programs
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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, and to investigate how sampling algorithms provide a new perspective on group decision-making. The list of team members and a summary of our work so far, along with illustrative references, are given
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classes on embedded systems programming. Professional Development • Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve
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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can