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in technology and public policy. We specifically seek applications from scholars who are developing and/or applying new technologies to solve public problems. We are particularly interested in computer
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. MMLab@NTU in the College of Computing and Data Science advances computer vision
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of Electrical and Computer Engineering aimed at developing hands-on methodologies for the courses Antennas and Propagation, Propagation and Antennas, Radiowave Propagation for Communications and Sensors
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-produced receivers. We are seeking a Research Associate to provide electrical and/or computer engineering expertise, including computational methods, and scientific rigor across a portfolio of technologies
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: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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Relevant industry or academic experience (for instance pursuing a PhD) in a field with significant use of both computer programming and advanced statistical or numerical methods. Fluency in one or more
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candidate is expected to contribute to the development the research, including engaging in ongoing and future research projects, where research questions, empirical studies, and method development are shaped
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such as combustion or semi-conductor plasma deposition. We use state-of-the-art methods in laser spectroscopy and mass spectrometry, as well as develop new techniques for high-precision measurements and
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, or related fields) is welcome; 2) Experience in executing R&D projects funded by national or international sources; 3) Experience in preparing technical proposals and cost estimates