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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
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paradigm shift in the processing, semantic enrichment, representation, exploration, and study of historical media across modalities, time, languages, and national borders. To complete our team in Luxembourg
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activities, such as workshops, lectures, or curriculum development, to support the program’s academic goals. As a formal qualification, you must hold a PhD degree (or equivalent). A successful candidate will
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verified results is necessary: Navigation through unknown environments Rapid dynamics-based planning - Semantic-based Exploration - Source localization Perception in sensor-degraded environments
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, integrated satellite-terrestrial networks, quantum communications, spectrum management, tactile internet, earth observation, and autonomous transportation. We leverage advanced technologies like semantic data
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opportunity to work in a dedicated and young environment, in close interaction with researchers, master's, doctoral and post-doctoral students working on various topics related to Semantic Annotation and
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Responsibilities Research: - Conduct research in AI reasoning, semantic modeling, and knowledge graph development. - Develop and optimize graph databases for structured knowledge representation. - Apply neural
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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly