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in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be involved in collaboration with industrial
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learning or neural networks), etc. The experience could come from lithium-ion, lithium-ion capacitor, sodium-ion, or other battery technologies. You have solid skills in Matlab/Simulink simulation tool
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research profile is clearly connected to thermal Modelling, and you can demonstrate experience with CFD modelling. You have solid skills in modelling and simulation using Tools and data processing and
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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used for dynamic simulation, allowing you to explore control strategies that can handle time-varying energy profiles in the kiln and disturbances such as varying limestone quality and fluctuating energy
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chain from concept to demonstrator. You will design and simulate new antenna configurations, fabricate them, and characterize them in our state-of-the-art anechoic chamber as well as in field trials
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information Read more about our recruitment process here We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The appointment process at Aalborg