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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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bonding strategies to enable mechanical durability and signal fidelity in multimodal sensors. Conduct validation of sensor arrays across multiple modalities, ensuring performance across variable
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Singapore. Key Responsibilities: Collect data and signal processing Assist both lab and field tests of Key responsibility 4 (Write proposals for further development) Publish papers in top journals Write
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an emphasis on technology, data science and the humanities. The Hwei-Ee Tan lab studies the fundamental biological basis of “gut-feelings”, how bacteria in the gut signals to the host to influence physiology
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participants at the point of this posting. With comprehensive behavioral, phenotypic, and multi-omic data, and electronic health record linkage enriched baseline phenotyping and evaluation of prospective
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, Julia. Understanding of one or more of the following areas would be an advantage Optimization Dynamic systems Control theory Power electronics Signal processing Machine learning and data science (various
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developing AI-based smart healthcare monitoring devices, focusing on biosensor development, lab-on-chip, and point-of-care technologies. Apply machine learning and computer vision techniques to analyze
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Singapore. Key Responsibilities: Collect data and signal processing Assist both lab and field tests Publish papers in top journals Write proposals for further development Mentor students Job Requirements: PhD
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background. The cohort has completed recruitment of >80,000 participants at the point of this posting. With comprehensive behavioral, phenotypic, and multi-omic data, and electronic health record linkage