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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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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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Position Summary This position will be working with existing research staff and graduate students to research, develop, implement, and test novel signal processing and robotics software for applied
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seismic datasets, including signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key job purpose is to support a research project titled: Ultrasonic Diagnosis for cell SOH grading
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experimental measurements, including calibration. Experience implementing digital signal processing (DSP) solutions. Track record of working effectively within a research or engineering team. Strong publication
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relevant standards and regulations (e.g. ISO 13485, ISO 14971, IEC 60601, UK MDR) is desirable, as well as experience of applying signal processing or machine learning methods to physiological or
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, fluorescence) Computational skills for data analysis, signal processing, or simulation (Python, MATLAB ) Experience mentoring junior researchers Salary and Rank Special Instructions Applications
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microscopic visual inspection, to analyze post-processing effects on signal fibers. Provide crucial feedback to the M&S and fabrication teams by supplying accurate characterization data, creating a