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a Research Fellow to contribute to a project focused on algorithm design in Game Theory and Fair Division. Key Responsibilities: Formulate mathematical models for research problems in computational
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/materials science, AI/ML, and computational modelling (DFT, MD, etc.) Good publication record Good written and verbal communication skills Proficiency in programming We regret that only shortlisted candidates
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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics
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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
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Materials, Bioinspired Materials and Sustainable Materials. In MSE, Prof. Li Shuzhou is interested in exploring cutting-edge scientific opportunities in computational and theoretical material modelling
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interest or experience in RNA therapeutics and high-throughput innovation. Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development
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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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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The RF should have strong background in computational methods for solving Maxwell’s