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interactions, supporting the design of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between
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. Description: The storage and movement of water around or planet is linked to numerous climatological, chemical and biological processes. I conduct research using satellite observations and numerical simulations
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building energy models. The role will focus on participating in the development and implementation strategy of a cloud AI-based framework to perform business valuation. Key Responsibilities: Develop new CFD
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thesis; pending oral defence) may also be considered • Well informed and knowledgeable in urban climate modelling; • Experienced in using environmental simulation tools, such as UrbanMicroclimateFoam
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responsibilities include: Develop hybrid modelling frameworks integrating physics-based hydrodynamic models and AI-based predictive models Apply hydrodynamic and water quality models to simulate circulation, mixing
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
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• Support the integration of causal models within agent-based and simulation frameworks • Prepare peer-reviewed journal articles, technical reports, and policy briefs • Assist in stakeholder
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datasets • Support the integration of causal models within agent-based and simulation frameworks • Prepare peer-reviewed journal articles, technical reports, and policy briefs
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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical