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Field
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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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, the research participant will help develop a process-based crop model designed for watershed scales to address this limitation. This will be achieved by coupling an existing crop simulation model with
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welcomed. The collected datasets will be used to calibrate numerical models that simulate future changes in sediment budgets from climate and coastal development scenarios and to support resilient coastal
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close to completing their qualification. They should have experience in systems engineering, simulation, digital modelling, machine learning, artificial intelligence, or digital twin (model, shadow, twin
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-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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surrogate model for giant impacts trained on SPH simulations, and then to analyse the results in the context of the geophysics, geochemistry and dynamics of the terrestrial planets. For more information and
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systems, with a focus on thermal integration of metal hydride storage systems. The Research Fellow will develop CFD models, process simulations, and system-level integration strategies to enable efficient
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to fundamental research in the field of energy chemistry. The group aims to explore innovative applications of advanced AI models and technologies in this field. Research topics include catalyst design, multi
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laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex