1,317 data "https:" "https:" "https:" "https:" "Universidade Portucalense Infante D" uni jobs in Singapore
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(Comparative Effectiveness and Real-World Data Analytics) Position Summary The Centre for Health Intervention and Policy Evaluation Research (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School
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Mechanical and Aerospace Engineering at NTU conducts interdisciplinary research in sustainable construction, digital fabrication, and data-driven engineering. The team works at the interface
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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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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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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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3 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) First Stage
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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