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regarding thermal and gas dynamics, burn intensity, and rate of spread. Responsibilities Research and development of algorithms to characterize active and/or post-fire processes in near real-time at a variety
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Key Responsibilities: Conduct advanced research in Generative AI, focusing on the design, development, and
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Key Responsibilities: Conduct advanced research in Generative AI, focusing on the design, development, and
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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings
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to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning