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, soft actuation Collaborative Sensing, perception and localization - Perception-degraded resilience sensing - Cognitive perception, semantic reasoning Duties The duties of a Postdoc primarily comprise
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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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contributing to the integration of ontologies, knowledge graphs, and related semantic web technologies into this architecture. The final aim is to demonstrate how this integration augments the development
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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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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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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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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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have a solid background in at least two of the following areas: Computer vision for object detection and/or semantic segmentation Anomaly Detection Efficient multi-modal perception Foundation models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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