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Field
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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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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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, 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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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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— 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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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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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
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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-Checking, Argument Mining, Automated Planning, and Decision-Making. Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise. Software Engineering
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular