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Field
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DAS and vehicle-based sensing datasets, including quality control, signal processing, and feature extraction. Integrate distributed sensing with complementary sensing modalities for infrastructure
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engineering, embedded systems or biomedical engineering / bioengineering, software development, signal processing, bioengineering, medical devices. Additional Information Benefits Gross monthly salary
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Action (MSCA) Doctoral Candidate position in integrated circuits and signal processing for large-array transceivers in next-generation communication systems. The position is part of the EU-funded MSCA
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Engineering, Electrical and Computer Engineering, or a closely related discipline by the start date. · Strong background in digital and/or statistical signal processing, including areas such as spectral
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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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acoustic signal processing, you will contribute to the development of next-generation acoustic sensing systems. You will push the boundaries of: Continuous-time and sparse representations
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Description The Harvard John A. Paulson School of Engineering and Applied Sciences ( SEAS ) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in
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potential to work across other RMIT campuses as required. About the Role Join RMIT’s School of Engineering as a Lecturer in Signal Processing and help shape the next generation of biomedical engineers
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demodulation techniques, and the development of signal-processing methods adapted to new sensing applications. The postdoctoral researcher will work within a multidisciplinary team combining