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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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. 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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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
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 20 days ago
2026 Where to apply Website https://uni-freiburg.de/stellenangebot/00005130/ Requirements Research FieldEngineering » Mechanical engineeringEducation LevelMaster Degree or equivalent Skills
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within the ICON Earth system modeling frameworks to investigate how uncertainties in the representation of ocean circulation and physical processes influence biogeochemical simulations, and to identify
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale