405 machining-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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. 5. Familiarity with scientific machine learning and data-driven modelling.
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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PhD students. Key Responsibilities Develop numerical twins for digital quantum computer Develop mapping of many-body problems into class of Hamiltonians compatible with our experimental machines Report
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), efficient machine learning, and AI systems, translating research innovations into practical solutions for sustainable computing and real-world applications. This role offers opportunities to work at the
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
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approach. The successful candidate will leverage their expertise in economics, computing, and generative machine learning to construct scenarios semi-automatically. Responsibilities: • Conduct
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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Intelligence & Machine Learning Develop machine learning and AI models to identify, predict and characterise genome instability patterns. Design generative and predictive computational models to infer mutational
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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software infrastructure necessary to bring cutting-edge machine intelligence from simulation into the physical world. Key Responsibilities: • Develop, optimize, and maintain data pipelines for processing