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; Xiaozhe Wang ECSE 515: Optical Fibre Communications; David Plant ECSE 551: Machine Learning for Engineers; Narges Armanfard ECSE 552: Deep Learning; Amin Emad ECSE 596: Optical Waveguides; Odile Liboiron
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California State University, Northridge | Northridge, California | United States | about 21 hours ago
information about the College of Engineering and Computer Science, see: https://w2.csun.edu/engineering-computer-science/college About the Department: The mission of the Electrical and Computer Engineering
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About Us For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is
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of energy forecasting and optimisation algorithms using artificial intelligence, machine learning and probabilistic forecasting to estimate renewable energy generation, electricity consumption and the
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of Electrical and Computer Engineering offers B.Eng., M.Sc., M.Phil. and Ph.D. programmes. Information about the Department can be obtained at http://www.ece.hku.hk The Position We now invite applications
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basis. Excellent verbal/written communication and interpersonal skills. Demonstrated experience with computer software and programs, specifically the Microsoft Office suite, and ability to learn new
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California State University, Northridge | Northridge, California | United States | about 21 hours ago
about the College of Engineering and Computer Science, see: https://w2.csun.edu/engineering-computer-science/college About the Department: The mission of the Electrical and Computer Engineering Department
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services; Data analysis, artificial intelligence and/or machine learning; Programming languages, frameworks, protocols and relevant technologies, namely Python, C, C++, C#, Java, React, JavaScript, SQL, PL
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applications for an Assistant Teaching Professor position in the School of Electrical and Computer Engineering. The successful candidate will be expected to teach courses primarily in computer engineering
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Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system