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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
Date Posted: 06/25/2026 Req ID: 49073 Faculty/Division: UofT Scarborough Department: UTSC:Dept-Language Studies Campus: University of Toronto Scarborough (UTSC) Description: LINC12H3 - Semantics
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of varying generality, information on semantic and formal hubs and outliers, competing affixes and frequency distributions. The postdoctoral researchers will use the Morphicon to further our understanding
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systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel semantics, the
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 14 days ago
), dissemination (publications, open-source releases, conference talks such as FOSDEM), and open-science practices (HAL, Software Heritage, Zenodo, artifact submissions) Where to apply Website https://jobs.inria.fr
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. Experience working with large-scale text corpora, bibliometric data, or other unstructured data sources relevant to knowledge and information systems. Familiarity with social and semantic network analysis
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with natural language have become increasingly important as a foundation for evaluating and applying semantic understanding. On the other hand, achieving more advanced semantic understanding remains
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contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The platform will feature modular
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approaches to speech, morphology, syntax, semantics, pragmatics; language variation, processing, or learning; and language technology for under-resourced languages. Apply via PageUp by October 23, 2026
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natural language processing (NLP), knowledge graphs, and semantic search technologies. 2. Design, implement, and optimize secure, scalable, and high-performance AI solutions across multi-cloud
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, reliability, model-based AI, machine learning, and semantic or task-driven methods, within the group’s established research agenda. About the division and department At the Department of Electrical Engineering