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; interviewing, hiring, and managing all professional and technical staff; and supervising students. Qualifications: Mandatory: PhD in Computer Science or similar field; At least three (3) publications as first
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Professional Studies Analytics, located on-ground in Toronto. Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special
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students on academic advising and other academic matters Respond to unit and student inquiries And other duties as required PhD in Information Systems, Software Engineering, Computer Science, or related
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Analytics, located on-ground in Vancouver. Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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& Intelligence Studies. The successful candidate will teach on-campus graduate courses in the Security & Intelligence Studies (SIS) program. This position is located at the Northeastern University Arlington, VA
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year until the search is completed. Responsibilities: Responsibilities will include teaching undergraduate and graduate courses in Computer Science, Artificial Intelligence and related areas; advising
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Artificial Intelligence, Machine Learning, and Natural Language Processing. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected candidate is expected
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strong mix of experimental and analytical skills, and the ability to communicate complex technical ideas. Qualifications: • A PhD in Electrical Engineering, Computer Engineering, Computer
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Informatics, Data Science, Cybersecurity, Game Science and Design, Artificial Intelligence, Robotics, Network Science, Extended and Virtual Reality, and Internet of Things), and four PhD degrees (CS, Network