171 channel-coding-electrical-engineering Postdoctoral positions in United Arab Emirates
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Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience (Research and Development). Significant experience in haptic technologies. Hands-on Lab Building and Rapid
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description As part of the Electrical Engineering program of the Engineering Division and the Center
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. Knowledge of Unity platform or Unreal Engine is desirable. Organizational skills and attention to detail are essential. Applications will be accepted immediately. To be considered, all applicants must submit
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-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good
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explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include
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24 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection