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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
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academic and industrial partners across Europe. The project will develop materials ontologies, training-ready datasets, multi-modal knowledge graphs, and large-scale SciFM models, together with tools
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research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross
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of the three positions is to contribute to the research fields on digitalisation and automation, with a particular focus on the development of an open and interoperable ontology for construction site processes
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reading and analysis of historical sources. Open and lead the theme of rematriation and the repair of the historical heritage of Tåno’ Låguas yan Gåni. Contribute to the study of Indigenous ontologies and
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language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education Develop and evaluate AI-powered tools such as chatbots
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datasets (e.g., RNA-Seq, epigenetics, cancer genomics, or metabolomics). Statistical Knowledge: Strong understanding of algorithmic, statistical, and ontological concepts in biology. Communication: Excellent
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. Scientific Background Stem cells are rare populations of cells that (in their primordial, i.e., ontological significance) serve as clonal founders of embryonic or adult somatic structures, while retaining a
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which are transferable to electronic LabBooks and data platforms of relevance for other researchers within the MaterialVital Hub. Lead the development of ELM-dedicated ontology for interoperability within
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 Postdoctoral Researcher position in line: "Ontologies and Knowledge graphs for semantic interoperability