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Field
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. This also includes using AI-based modelling, learning-enhanced co-simulation, and predictive analytics to improve the fidelity, automation, and scalability of quantum communication security evaluations. Key
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principles with data-driven modeling for thermal and mechanical simulations in metal additive manufacturing. Candidates will design, implement, and validate PIML models that can accurately capture process
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cortex, analyze neuronal population data, and build generative or predictive models to simulate cortical responses. The position requires strong experimental engagement and a collaborative mindset within a
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the modelling and simulation activities of the PRIM-ROCK Project, an EU-funded initiative focused on Multiphysics systems and computational methods. Working under the guidance of the relevant academic lead, the
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research project with Principal Investigator (PI), Co-PI and the research team members to develop an onboard microgrid simulation model with energy management. Work with research team to deliver the work
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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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group of ISMIP7. The aim of the group is to develop a protocol and provide the boundary conditions for ocean-driven melting needed by ice-sheet modelers to simulate the evolution of the Antarctic ice
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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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, 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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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