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the representation of archive documents. This second challenge therefore aims to investigate and improve state-of-the-art Natural Language Processing methods to enrich Encoded Archival Description (EAD) files with
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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costing (LCC). You participate in a research project on using natural and local building materials and their environmental performance, both on a material and on a building level You support ongoing
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios
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languages such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our broader economy and society The commitment to participate in
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multilingual environment: fluency in either English or French is required. Good understanding of a third language will be considered an advantage We offer A modern, dynamic university with a personal and
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understanding and generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision-language models, computer vision applications for space. Key responsabilities: Shape research
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Familiarity with on-orbit servicing missions, proximity operations, or satellite autonomy Fluency in English is required We offer A modern, dynamic university with a personal and inclusive atmosphere