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research papers for top conferences and top journals in operations management and data science. Responsibilities: Support the PI/Co-PIs in research efforts Develop a competitive dynamic pricing model
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The Office of Alumni Engagement (OAE) manages records for more than 300,000 alumni and supports NTU’s alumni engagement strategy through reliable and meaningful data. This role ensures the accuracy
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data analytics architecture to advance operational efficiency and enable data-driven decision-making within SASD by leveraging advanced technologies such as AI, GenAI, and RPA. These technologies can
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an emphasis on technology, data science and the humanities. The project led by LKCMedicine, Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health
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agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine
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performance in real-world applications. Utilizing large-scale models and state-of-the-art learning frameworks to analyze complex data, enhance model efficiency, and improve robustness under limited-data
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optimization, and logistics sustainability. Develop AI models for large-scale data analysis to enhance carbon management. Apply time-series and spatial-temporal data mining to forecast logistics efficiency and
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results in top-tier journals and conferences Job Requirements: Bachelor’s degree in electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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the University’s effort in fundraising and alumni engagement. This role will work with the Information Management (IM) manager to maintain data integrity and an effective database management system that is crucial