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or excavation waste, to create new, high-performance SCMs. Thirdly, lab-scale tests will be conducted to evaluate the performance and durability of the new SCMs, ensuring their reliability for construction
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Are you passionate about mathematical systems and control theory? Are you interested in working with next generation high-tech systems? The main challenge lies in the reliable operation of
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technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you
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of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a
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70 researchers, from PhD candidates to postdocs and senior staff, with backgrounds spanning the social and technical sciences. This interdisciplinary approach makes us unique: we combine different
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critical materials data, refine degradation models, and design mitigation strategies that support the safe and sustainable operation of research reactors across Europe. As a postdoc researcher at TU Delft
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used in power system operations under uncertainty in conjunction with classical high-performance computing. Interesting directions for this project include, but are not limited to: Quantum algorithms
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genomic datasets. You are familiar with cloud computing or high-performance computing environments. You have knowledge of meiotic recombination, genome analysis, or pan-genomes. Additional Information
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friction governs nonlinear vibration and damping in assembled structures. Job description Many high-performance structures, from spacecraft to offshore structures, rely on assembled components
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft as a postdoc on the CHESS project to model, design