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Candidates should demonstrate experience and/or knowledge in one or more of the following areas: Numerical modelling of materials and structures using the Finite Element Method (FEM). Simulation of damage and
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conversion processes, with extensions to combustion products and carbonaceous materials. Experimental databases will be used for model validation and to assess model performance under high-temperature
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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, theoretical modelling and numerical simulations. The team focuses on model materials with controlled physical parameters, enabling quantitative comparisons between experiments, models and simulations, with
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physical models of insect mechanical structures using a variety of materials such as textiles, 3D printed components, cardboard and wood Robust understanding of the multi-scale systems enabling insect
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of the modelling teams, and the cross-model synthesis comparing new pathways with the existing literature. Main tasks and responsibilities In the following items, we deliberately use the words “contribute” to and
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comprehensive reactor model. - Definition of the dynamic conditions relevant to the target application - Evaluation of the catalytic properties of reference catalysts - Synthesis and characterization of materials
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modeling of complex, multi-site datasets. In this role, you will bridge the gap between complex data infrastructure, cutting-edge machine learning, and synthetic data generation—building automated
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-derived material, tissue engineering, microfluidics, advanced analytics, and digital technologies, NAM platforms enable the development of highly predictive and human-relevant biomedical models
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critically dependent on the material and process parameters, which are indirectly extracted via the aforementioned experiments and in-situ process monitoring. On the other hand, the physics-based models