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decision-making to improve the safety and reliability of transportation and grid simulations, with contributions to model development, software maintenance, and real-world deployment. You Will: Develop fine
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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feasibility studies of CCS using mechanistic modeling and simulation including uncertainty analysis and risk assessment. Applications are sought for a 1-to-2-year postdoctoral fellow position. The position
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transport simulation with MATSim experience, including scenario development, calibration and validation • Experience applying travel demand modelling to evaluate policy and mobility scenarios • Strong
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Build the Next Generation of Health Policy Simulation Models Do you want your research to influence how governments design policies to prevent chronic disease? Are you excited by the challenge
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and implementing vector population and disease transmission models, integrating climate and environmental datasets for projections and downscaling, and simulating disease risks under different climate
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implementation of a coupled Computational Fluid Dynamics (CFD) and fire dynamics model within the OpenFOAM framework. This model will simulate battery thermal runaway and subsequent fire propagation. The
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, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
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observation-constrained reduced-order models to reproduce ESM simulations. You will first analyse state-of-the-art Earth System Model (ESM) simulations and diagnose underlying processes for inter-model
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. The project will focus on closed-loop experimental design, model-based and data-efficient reinforcement learning, and integration of AI models with real-world laboratory systems. The Postdoctoral Fellow will