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Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
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team working at the interface between chemical engineering, data science, and semantic web technologies. The work will be tightly integrated with other digitalization activities at DTU KT
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scale by developing new computer vision approaches capable of decomposing an astronomical diagram into semantically meaningful elements for analysis and editing, without relying on human-annotated
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post-doctoral researcher to work on adapting the hardware footprint, and in particular the memory, of traditional virtualized servers such as web servers, databases, or streaming servers, for example
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structured and unstructured biomedical data, including EHR data, wearable sensor time-series data, or clinical annotations. Demonstrated ability to build interactive or web-based systems using frameworks with
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% for PostDocs; 45k – 57k Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic
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beneficial, but not mandatory. Optimally, you have expertise in one or more of the following research areas: Ontologies, Ontology Design and Ontological Engineering Knowledge Graphs and Semantic Web