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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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to staff position within a Research Infrastructure? No Offer Description This is a call for expressions of interest. The formal selection process will be carried out by a selection committee at the
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to staff position within a Research Infrastructure? No Offer Description This is a call for expressions of interest. The formal selection process will be carried out by a selection committee at the
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in formal verification and programming
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, semantic modelling, ontology engineering, formal logics or cognitive modelling, and some experience with linked data standards and knowledge graph tools (e.g., RDF, OWL, SHACL); familiarity with or interest
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Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
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semantics e.g. for Earth Observation and Internet of Things, Telecom GPT, Open RAN/AI-RAN integration Infrastructure: MFSS - Multi-functional structures. ISAC - Integrated sensing and communications
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question parsing pipeline using NLP and formal semantic representations; investigate Large Language Models (LLMs) as well as symbolic AI for question parsing; evaluate models based on a gold standard of geo
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, Computer science, Ontology engineering, Computational geoscience, AI and NLP, or a related field; a strong interest in conceptual modelling, semantic modelling, ontology engineering, formal logics or cognitive
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of the following: static and/or dynamic program analysis, programming language techniques (such as semantics, type systems, runtime systems, etc), formal verification, or software engineering