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application, but the actual implementation will draw from typical challenges drawn by selected applications, like vision and olfactory sensing, which are interesting because of their strikingly different
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infrastructure. The research aims to improve the detection of complex environments, anticipate hazards, reduce accidents, and optimize traffic flow, ultimately enabling safer and smarter autonomous driving
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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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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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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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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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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