216 parallel-computing-numerical-methods Fellowship positions at Nanyang Technological University
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-driven methods. The role will focus on developing intelligent methods and operation-support tools for ATM applications, contributing to the advancement of research and innovation at Nanyang Technological
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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research methods (e.g. survey, experiment), statistical analysis (e.g. regression, multilevel modeling, SEM), and computational techniques (e.g., NLP, data mining). Proven track record with publications in
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://www.ntu.edu.sg/cceb) The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via: 1. Comprehensive mechanism elucidation via
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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papers based on research findings. Developing research proposals related to multi-agent systems and their applications. Job Requirements: PhD degree in Computer Science, Artificial Intelligence, or related
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. Perform high-throughput computation for accelerating materials discovery and generate datasets for materials informatics. Work with teams to refine the developed methods and workflows. Job Requirements: PhD
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off-chain data integrity. Implement TEE-based off-chain computation for confidential transaction execution. Integrate blockchain with IoT devices, metering systems, and energy assets for real-time
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g