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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ The Luxembourg Institute of Science and Technology (LIST) is a
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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measurements by LiDAR and images. While images are dense 2D grids, point clouds made by LiDARs are sparse and unstructured. This difference gives rise to the central question of LiDAR-camera fusion, that is to