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Field
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reality and mixed reality; data modelling and databases, in particular the spacecraft reference database; semantic modelling in support of digital continuity and semantic interoperability; digital twin
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by robots. Navigation: Crafting mapping and navigation solutions that take into account the semantics of complex, real-world environments. AI for Physical Systems: Utilizing AI to boost
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
at improving how researchers interact with complex data and analysis workflows. Potential project areas include developing semantic search capabilities to help users efficiently locate relevant datasets
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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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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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. 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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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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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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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 interactions