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of protective materials Perform validation studies to ensure computational model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation
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model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation Machine Learning Integration Develop and implement machine learning
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. Familiarity with software development workflows, tools, and practices (e.g., IDEs, CI/CD, testing, documentation). Experience in empirical software engineering, AI prototyping, or human-AI interaction studies
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of real systems, so-called digital twins, are at the heart of the project. The project works with real examples from companies to develop and test innovative solutions. As a postdoc, you will be a senior
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involve established software tools, such as: CHEMKIN-PRO for steady one-dimensional simulations of laminar flames with detailed chemistry. CONVERGE for unsteady three-dimensional simulations of turbulent