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Postdoctoral Researcher – Ontology and Knowledge Graph Engineering, you will be contributing to the ongoing development of a general and interoperable modular architecture to build federations of simulation
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, and reuse in the biosciences through developing and implementing metadata frameworks and ontological models. As part of our interdisciplinary team within the Workflows and Ecosystem Services group
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). Knowledge about databases and data standardisation/ontologies (SQL, NoSQL, Ontologies, etc.). Other programming languages would be an advantage. Salary and terms of employment The appointment will be based
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data
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of research where your contribution can make a real difference. Scientific Background Stem cells are rare populations of cells that in their primordial (i.e., ontological) significance serve as clonal founders
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database tools and ontology-based approaches - especially those related to environmental data and impact assessment - would be valuable in this role. You are comfortable communicating in English, both in
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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modern methods of construction production Construction informatics, in part related to Building Information Modelling (BIM), ontologies, process modeling, databases, open data standards such as Industry
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objective is to investigate how new technologies challenge moral values and ontological concepts (like 'nature', 'human being' and 'community'), and how these challenges necessitate a revision of these