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Field
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for the clean, efficient, and fuel-flexible use of ammonia-based fuels in gas turbines. The research approach combines high-fidelity numerical simulations and turbulent combustion modeling. A closely related
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the simulation environment and perform training using large data sets. Scientific verification: you systematically verify the developed models with respect to robustness, physical limits, sensitivities and
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, in particular the semantic integration of the "Preliminary Engine Architecture" tool and the GTlab framework for Large Language Models (LLMs), as well as multi-agent architectures for the automated
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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accelerator physics and deep knowledge in RF technology, preferably x-band Experience with simulation codes, such es elegant, to model the beam dynamics Hands-on experience building accelerators Experience with
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum Jülich is dedicated to pushing the boundaries of data science theory and application. Our research spans from use
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modeling, and scientific machine learning to enable efficient simulations of complex molecular processes across realistic time and length scales. https://doi.org/10.48550/arXiv.2604.24245 https://doi.org
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characterisation, additive manufacturing, medical device simulation or design, material simulation, experimental design, analytical modelling, finite element modelling, design of experiments, material
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying