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Job Description Apply Now Research Engineer/Research Fellow (Signal processing with AI modifications) - IM Posting Start Date: 06/03/2026 Schemes of Service: Research Division: Infocomm Technology
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
Generation Satellite Communication project in partnership with ANU. The PhD candidate will contribute to the projects’ objectives by researching into new wireless communication schemes and signal processing
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integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically relevant prototypes, high-quality publications, and translational outcomes for the
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including
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experiments for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban
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electrical and electronic engineering, communication engineering, signal processing, radar engineering, remote sensing, or related discipline. Strong publication record and hands-on experience in one of the
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. Job Requirements: PhD in electrical and electronic engineering, communication engineering, signal processing, RF/microwave engineering, or related discipline. Strong publication record and hands-on
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) and signal processing. Experience with PCB design, embedded electronics, measurement setups or laboratory characterization techniques Experience with microfabrication, flexible/stretchable
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The University of Manchester is inviting applications for a Post-Doctoral Research Associate to lead the design of next-generation vision sensors. This role focuses on developing mixed-signal
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. Mentor students. Job Requirements: PhD degree in civil engineering or related field At least 1 year of relevant experience in structural materials and signal processing. Good written and oral