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theory, contributing to the understanding and design of novel materials for extreme environments and to improved modelling of nuclear processes. Expected outcomes include validated computational tools, new
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respectively, we seek highly motivated candidates to develop innovative methodologies for radar sounder data processing, with a strong emphasis on artificial intelligence and deep learning. The research activity
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range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic
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within a Research Infrastructure? No Offer Description The design process of complex systems must guarantee not only the functional correctness of the implemented system, but also its safety, dependability
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to simulate urban processes and support decision-making. While UDTs are increasingly adopted by municipalities, their use remains largely expert-driven, limiting their potential as participatory infrastructures
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at the far edge of the computing infrastructure. Given the challenges of limited computation, energy constraints, and communication bottlenecks, there is a growing need to process data locally while ensuring
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of effectiveness shifts when the objective is functional rather than purely hedonic. By leveraging AI to process the complexity of multi-modal data, this project aims to provide a robust, evidence-based toolkit
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they struggle to process speech affected by medical conditions such as dysarthria, aphasia, or dysphonia. This research will develop multimodal models that can recognize unusual acoustic patterns and
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within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP) benchmarks often prioritize leaderboard
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required staff training, process redesign and collaboration among diverse experts to adapt systems and practices. Consequently, new tools and methods were developed to support organisations (Bhalavat et al