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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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the lab Develop AI-powered pipelines for analysis of microendoscopic calcium imaging, confocal fluorescence microscopy, and behavioral videos Lead cross-modality image registration applications Launch new
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leading researchers at NTU and publish in top-tier computer science conferences or journals. Key Responsibilities: Conduct research on vulnerabilities detection in 3GPP specifications via LLM. Develop
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to contribute to the development of a
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supports research in analog/mixed-signal, RF/mm-wave, biomedical, power management, and emerging devices. We are hiring a Research Associate/Research Fellow in RFIC design to develop advanced radio frequency
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of imaging this highly dynamic and complex organelle. Our lab has developed various quantitative and super-resolution imaging tools specifically designed for studying the Golgi, including en face averaging
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develop their experience in AI-enhanced learning environments and educational psychology within a dynamic, interdisciplinary team. The candidate will be expected to: Conduct literature reviews on Gen-AI in