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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Successful candidates will join the vibrant and interdisciplinary FINATRAX Research Group
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molecular anions and their interactions with other particles will be investigated to fully describe negative ions in a variety of environments, from vacuum to plasmas, interstellar clouds and planetary
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models. Through the use of decentralized edge computing, cloud-based analytics, and existing seismic networks, the project aims to improve rapid decision-making and resilience assessment during and after
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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views in real time. Yet raw video and point-cloud streams are massive, wireless links are unreliable, and safety demands that information be both timely and trustworthy. IONIAN tackles this bottleneck
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
data, and are limited by cloud cover. Ground-based techniques like eddy covariance and scintillometry rely on integrating over large areas. This project proposes a novel approach using advanced passive
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in BIM methodology, scan-to-BIM, automatic detection of structural anomalies in civil engineering assets, classification of point clouds, all supported by artificial intelligence or advanced data