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concrete. About us Digital Structures with Mineral Materials is a new professorship at the TU Munich, focusing on the de-velopment of structural engineering, design, analysis and modelling methods
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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remodeling and tumor brain interactions in high-grade gliomas. Research will utilize state-of-the-art in vitro models, patient-derived glioma models, organotypic brain slice cultures, and orthotopic mouse
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Breeding Ratio (TBR), which depends on several tightly coupled factors, including breeder blanket design, plasma-facing surface area, neutron transport, material composition, and cooling performance. Since
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authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide which information to
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be computed using the appropriate modelling techniques. Method and models will be developed when necessary. Job requirements The ideal candidate: Holds an MSc in Mechanical, Chemical, Materials Eng
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, verification and control of LLM-based agents AI for materials discovery – generative models, active learning and autonomous discovery of novel materials We welcome applications from candidates whose interests
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processing with light. Near a continuous phase transition, the susceptibility of a material can increase strongly. This allows weak input signals to generate large responses, which can in turn reduce the
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects