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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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of detailed models for the design and optimization of pyrolysis plants in interaction with CO₂ capture.” You will drive the development of a comprehensive, modular simulation framework that links all major unit
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copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do. List of publications. Deadline for applications: September
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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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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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to advance our understanding of black holes, their environments, and their extragalactic jets.The successful candidate will work with Prof. Chael’s group to advance theoretical models and simulations of black
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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