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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 15 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow-Electrical/Mechanical Engineering Division Academic Affairs Department College of Engineering (Col
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master’s degree or above in Electrical Engineering or equivalent from a recognized University. Major in power or data engineering will be advantageous. Minimum 1 year of relevant experience in the electrical
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master’s degree or above in Electrical and Electronic Engineering or equivalent from a recognized University. Minimum 1 year of relevant experience in the electrical and electronic engineering industry and
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, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow. The post holder will conduct in-depth
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. Job Requirements: PhD degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university. Good publication track record is a
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PhD degree in Computer Science, Electrical and Electronic Engineering, or their equivalent Good publication record in areas like networking, machine learning and generative AI Strong mathematical
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deliverables. Job Requirements: Possess PhD degree in Electrical and Electronic Engineering, Material Science, Physics or related disciplines. Experience in operating CVD systems. Experience in nanomaterial
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, Electrical Engineering Or Civil Engineering Strong experimental skills, including design, measurement, and data processing Strong programming skills (Matlab, C++ or Python) Good knowledge in electronics design
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) YesNo Electrical & Computer Engineer (5) YesNo Emergency Medicine (5) YesNo Facility Operations (5) YesNo Institute for Human Dev (5) YesNo Kummer Stem Education Ctr (5) YesNo Medicine-Gastroenterology (5
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: A PhD degree in Computer Science or relevant fields such as Electrical Engineering and Cyberspace Security Have a solid foundation in the following areas: Computer Vision, Deep Learning; Strong