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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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be processed and displayed on a custom cloud platform. This position is part of the CLEAR project in collaboration with Rogers and the Bamfield Marine Sciences Centre and will include algorithmic
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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
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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large
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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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pipelines that will ultimately be deployed onto a cloud-based industry-standard platform, including their subsequent use for further research. This post is full-time (part-time working will be considered, 0.8
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— employees have access to a comprehensive training catalog covering both foundational and advanced topics, from data science and AI to coding best practices, cloud platforms, green IT, and soft skills. OCTO
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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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of English and French. Spanish is an asset. - Availability for presential meetings. - Ability to use cloud platforms, websites, Word and Excel. - Excellent organizational, interpersonal, and communication