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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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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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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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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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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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and social sciences, and to position its consortium at the top of its field internationally. A key objective is to investigate how new technologies challenge moral values and ontological concepts (like
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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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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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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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. 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