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Field
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, particularly in areas such as lexis, semantics, syntax, pragmatics, language variation, corpus linguistics, or lexicography High level of proficiency in written and spoken Chinese and English so as to support
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discipline. 2. Experience in 3D scene reconstruction, deep learning and semantic segmentation for building environment. 3. Programming ability and familiarity with Linux; experience in ML/DL is preferred
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). Desirable Interview / Application Familiarity with semantic web technologies (RDF, SPARQL), linked data principles, or large language model (LLM) APIs and agentic frameworks for automated data integration
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semantic topics for library collections, using appropriate schema, to ensure materials in all physical and digital forms are optimally accessible; refines and improves metadata for library collections based
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and fake news, it analyses register variation, style and rhetorical devices through Discursive News Values Analysis and Key Semantic Domain Analysis. The aim is to identify the linguistic markers
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engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns. Semantic modelling and business
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semantic representations. Develop methods to assess AI-generated hypotheses for plausibility, novelty, evidence support, contradiction, uncertainty and explainability. Publish in leading NLP, AI and
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
will contribute to the design and development of the Multimodal Semantic Integration Platform (WP3) within the HEREDITARY project (Horizon Europe RIA, grant 101137074). The activity addresses two
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
project (Horizon Europe RIA, grant 101137074), the activity targets Work Package WP2 (Clinical Use Cases and Federated Networking Infrastructure) and WP3 (Multimodal Semantic Integration Platform). The main
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AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic