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including key components such as cell configurations, flow channels, electrodes, membranes, and catalysts for HER and other electrochemical processes. • Conduct CFD and electrochemical simulations
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condensed matter physics, quantum chemistry, and materials modelling is needed. This position will contribute to cutting-edge research in density functional theory (DFT)-based simulations for materials
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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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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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of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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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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’ methodological skillsets. There are different models of Postdoctoral programs. CIL follows the Academic Community model, whereby fellows are part of an academic community learning and advancing not only from
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%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with