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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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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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Geospatial Laboratory. This pivotal role ensures seamless functionality, safety compliance, resource optimization, and fosters innovation through modernizing workflows and process enhancements. Collaborating
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Responsibilities: Conduct programming and software development for big data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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to optimize marketing efforts, analyse performance data, and ensure alignment with business objectives. The position is also responsible for developing, curating, and managing a diverse range of literary events
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efficient obstacle avoidance strategies to ensure collision-free navigation in dense settings. Implementing and validating algorithms in both virtual and real-world scenarios to optimize performance in indoor
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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serve as a strategic legal advisor, driving excellence in legal and compliance frameworks while fostering innovation, partnerships and optimization. This role requires a seasoned legal professional with
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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