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& Interoperability – and more specifically, in the following tasks: Task 4.1: Ontology Definition, Alignment and Formalization (CIDOC-CRM & INSPIRE), focusing on the design and extension of the MNEME semantic model
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Technische Hochschule Brandenburg | Brandenburg an der Havel, Brandenburg | Germany | about 5 hours ago
: investigation of ontology-based metadata models for the machine-readable description of model structures, workflows and parameter dependencies, as well as a multi-agent architecture (LLMs, Retrieval-Augmented
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informes técnicos. _______________________ Demonstrable proficiency in Python programming, ontologies, machine learning, and artificial intelligence. The candidate’s public software repositories must be
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, Ontological and Methodological Foundations (https://poppieproject.com/ ). The project aims to develop new ways of understanding how citizens and other political actors think their political institutions should
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
interconnected tasks: (i) the design and incremental population of a multimodal biomedical ontology covering neurological diseases (ALS, MS, Parkinson's, Alzheimer's, Frontotemporal Dementia) and gut-microbiome
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to apply Website https://www.academictransfer.com/en/jobs/362276/researcher-in-ontology-driven-s… Requirements Specific Requirements You are enthusiastic about software engineering, particularly software
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, Ontological and Methodological Foundations (https://poppieproject.com/ ). The project aims to develop new ways of understanding how citizens and other political actors think their political institutions should
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
of CMatch in OAEI 2025. https://ceur-ws.org/Vol-4144/om2025-oaei-paper3.pdf [7] Sousa, G., Lima, R., & Trojahn, C. (2026). Survey on embedding methods applied to ontology matching. The expected work consists
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en entornos impulsados por IA. -- Contributing to the design and development of semantic interoperability frameworks based on ontologies and knowledge graphs for heterogeneous data ecosystems
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data challenges. Responsibilities Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment Develop multi-agent or RAG-style (retrieval