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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agoPostdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information
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in Cultural Heritage Informatics and have experience in semantic web technologies and standards (RDF, SPARQL, OWL), including data modeling and transformation, preferably with the CIDOC-CRM and related
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programming skills, and a commitment to transparent, reproducible research, and a willingness to engage in a semantically challenging area of NLP. If you are still awaiting your PhD to be awarded you will be
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 2 months ago
Heidelberg/Heidelberg University) whose work focuses on perirhinal contributions to familiarity, semantic integration, and rapid concept learning and Dr. Andrej Bicanski (MPI-CBS, Leipzig). The project
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
University) whose work focuses on perirhinal contributions to familiarity, semantic integration, and rapid concept learning and Dr. Andrej Bicanski (MPI-CBS, Leipzig). The project combines computational
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
photorealistic but also exhibit high semantic fidelity, temporal coherence, and practical usability in creative and industrial applications. 2. Main Tasks The Postdoctoral Research Fellow will be responsible
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medicine Hands-on experience working with standard common data models: OMOP CDM, HL7 FHIR Hands-on experience working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL Experience programming
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classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based
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verified results is necessary: - Navigation through unknown environments - Rapid dynamics-based planning - Semantic-based Exploration - Source localization - Perception in sensor-degraded environments
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/). The unique value proposition of 3rdAI is its “SavvyAI” model – a transferrable and scalable bespoke dictionary and semantic tagging platform curated by domain experts that interface between the corpus and the