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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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At the Faculty of Engineering and Science, Department of Materials and Production, a post doc position is available from 01.10.2026 or soon hereafter. The duration of the position is one year. Are
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non-stationary environments with application to adaptive robotic systems and embodied AI, while translating these insights into scalable, high-fidelity simulation implementations. Research Environment
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be included for completing this subproject within the period of employment. Lastly, the application must include a copy of the applicant’s PhD degree certificate or other documentation confirming
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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
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical
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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