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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
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. Prior work with data curation, metadata standards, or semantic similarity measures, especially in the context of research reproducibility. Strong communication and writing skills, with a track record of
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, integrated satellite-terrestrial networks, quantum communications, spectrum management, tactile internet, earth observation, and autonomous transportation. We leverage advanced technologies like semantic data
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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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Responsibilities Research: - Conduct research in AI reasoning, semantic modeling, and knowledge graph development. - Develop and optimize graph databases for structured knowledge representation. - Apply neural
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harmonization across domains, including semantic and technical interoperability of data and models towards its integration into a common digital twin platform. How will you contribute? You will be designing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language
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implementation of various components of a dialogue-based tutoring systems including but not limited to dialogue manager, semantic interpreter, question generator, student model, and domain model; help with
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Job description The job involves formal semantic and pragmatic modeling of Information Structure-related phenomena from a diachronic perspective. Information Structure-related phenomena are to be