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. Develop and implement OFDMA systems with optimized bit- and power-loading for high-rate data communication. Explore spread-spectrum communication techniques with state-of-the-art codes for secure C&C
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learning-driven approaches for material design, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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significant role in working on a research project on machine learning modeling and optimization. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced
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. Implement and optimize algorithms for motion planning, balance control, perception, and human-robot interaction. Conduct experimental validation of humanoid robotic systems in lab and real-world environments
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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and dynamic models. Development of optimization algorithms for the unique operational characteristics of the onshore microgrids. Development energy management system including frontend and backend. Job
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and units within the university. Its primary goal is to streamline and optimize processes, enhance operational efficiency, and deliver high-quality services to support NTU's core mission of education
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, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection
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Geospatial Laboratory. This pivotal role ensures seamless functionality, safety compliance, resource optimization, and fosters innovation through modernizing workflows and process enhancements. Collaborating