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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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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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simulation and real-world robotic systems. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a
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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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• 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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: Multiphysics Modelling, Experimentation and Simulation (GeoLit)” financed by the Research Council of Norway. About the project/work tasks The significant presence of lithium (Li) in geothermal brines, combined
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systems. These models will be part of a multicellular modelling and simulation framework being developed as part of the Australian Research Council's (ARC) Discovery Project "Bridging biological boundaries
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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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applicant will be a recognised expert in molecular dynamics simulation involving modelling of mineral lattices undergoing perturbations from an external source, and will possess sufficient specialist