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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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example task for a different role within the research group is here ). A start date of January or early February 2026 is preferred, although later starts can be discussed. To apply, please upload a CV
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intermediate host. Mathematical modeling is essential for anticipating the long-term impacts of gene drive interventions, optimizing strategies before implementation, and evaluating both their effectiveness and
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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, integrating basic research with preclinical and clinical studies. SHIELD offers the opportunity to 16 talented doctoral candidates (DCs) to pursue a PhD within the Network at different universities and
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(TU Delft). Characterizing powder morphology, flowability, oxidation, and contamination. Fabricating parts using LPBF printing, optimizing process parameters for recycled feedstock. Benchmarking
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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simulate ultra-low-power energy-harvesting and power-management ICs using CMOS technologies. Develop novel rectifier and MPPT architectures optimized for mechanical energy sources. Implement, tape out, and
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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is
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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is