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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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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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hydrodynamic modelling and sediment transportation. Model Validation: Validation of DHI Mike Model with past historical data Data Analysis: Process and analyze coastal and ocean wave data to improve model
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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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performance under diverse operating scenarios, including power limitations, ambient environmental conditions, and human-device interactions • Validate simulation models using experimental data or benchmark
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to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology. Key Responsibilities
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skills with excellent written, oral communication and computer skills. A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and
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-Computer Interaction, Health Informatics, Data Science, or a related field. • Demonstrated experience in the design and evaluation of digital health or mHealth interventions, ideally involving real-time data
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up to about 25 MeV, and produce intense bremsstrahlung gamma-ray emission. Large-volume LaBr3(Ce) scintillation detectors and digital pulse processing are central to the gamma-ray spectroscopy system
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– Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5