32 Electrical Engineering positions at Grand Canyon University in US in United States
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of Engineering and Technology . Through hands-on, inquiry-based learning, the college provides an outlet for innovation and cross-disciplinary exposure. This is a face-to-face part time opportunity. MUST be
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of Grand Canyon University. Qualifications: Minimum: Masters in Electrical Engineering AND industry experience. Preferred: Doctorate. Before submitting your application please attach the following to review
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). Must be in Arizona. Minimum completed Bachelor’s degree from accredited institution when you submit your application. Must have sufficient courses in Electrical Engineering as well as having received a
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of Engineering and Technology. Through hands-on, inquiry-based learning, the college provides an outlet for innovation and cross-disciplinary exposure. It also features pre-professional degrees in
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employee/student worker or hired for other hourly GCU positions. You are required to assist on Main Campus (in-person). Must be in Arizona. Must have sufficient courses in Electrical Engineering as
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of Engineering and Technology. Through hands-on, inquiry-based learning, the college provides an outlet for innovation and cross-disciplinary exposure. It also features pre-professional degrees in
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opportunity you have been looking for. The College of Science, Engineering and Technology, is seeking a full time faculty member to teach Electrical Engineering for the traditional ground campus. Do you want
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. An extensive, advanced, and current knowledge of mechanical engineering, specifically, in one of the following sub-disciplines - dynamics, dynamic systems and control, and material science, or a closely related
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projects. Assists the Dean in developing internal and external communities that promote the major field of study, college, and University. What you need: Master’s degree in electrical engineering, mechanical
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, Data Science, Electrical Engineering or related discipline. Exceptional Expertise: PhD in any field plus 12 graduate-level credits in predictive modeling. All candidates require proficiency with Python