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About the Opportunity Responsibilities: Teach selected undergraduate or graduate courses in the day and evening programs in the Department of Electrical and Computer Engineering. Course topics might
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looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential
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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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incidents. Provide technical support for electronic locking systems, security alarms, and surveillance equipment. Conduct regular audits and inspections to identify potential security vulnerabilities and
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security guard for campus safety. Administrative and clerical tasks: Co-manages shared email account. Receives/sends mail and packages. Supports students or employees learning how to access campus or digital
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-oriented programming and scripting languages, such as Python, C++, C#, Java, JavaScript, etc. Interest in Computer Vision, ML, and AI concepts. Ability to lead a small team of engineers and share knowledge
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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, and communication skills. Must enjoy interacting with students and be able to work under pressure during peak times each semester. Must demonstrate maturity, tact and the ability to maintain a high