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of Things (IoT) Development and Security · Wireless, Mobile Security · Embedded Systems Security · Connected and Autonomous Vehicle Security · Artificial Intelligence and Machine Learning Special Instructions
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research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching
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the Computer Science or Computer Information Systems program. Resume Cover letter The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our
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Number: 6476323 Part Time Lecturer Khoury College of Computer Sciences- Arlington About the Opportunity The Khoury College of Computer Sciences at Northeastern University invites applications
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vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic
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decision making in contested and dynamic environments, involving extensively applied work at the intersection of data fusion, decision making and machine learning, with real-world testing and feedback
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of subjects such as computer vision, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have
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for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Vancouver, Canada. Responsibilities
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professionals at undergraduate and graduate levels, promotes lifelong learning, and enhances the well-being of individuals, children, and families residing in rural, urban, and military communities throughout
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for part-time faculty to teach undergraduate courses, including our Cyber Systems Technology programs in a lecture with laboratory format related to Information Technology infrastructure, computer network