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developed within TWIN4CITIES. The work includes the review and comparative analysis of existing data standards, semantic models, and ontologies related to the thematic areas of the project, as
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, and other enterprise analytics platforms. The incumbent develops trusted data products, enterprise semantic models, dashboards, AI-enabled analytics solutions, and self-service reporting capabilities
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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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pipelines for processing large-scale structured and unstructured datasets using machine learning, natural language processing, semantic search, and knowledge graph technologies. 2. Design, implement, optimize
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 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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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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research, planning, strategy, or decision support. Experience working with enterprise data warehouses, semantic models, data governance, and institutional data definitions. Knowledge, Skills, and Abilities
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applications that communicate trusted institutional data through intuitive, visually compelling, and user-centered experiences Semantic Modeling & Analytics Architecture - Develops, maintains, and optimizes
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of collaborative watermarking to diffusion models and audio language models based on neural audio codecs. Studying whether watermark information can be embedded in long-term content, such as speech semantics
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Architecture Development: Contribute to the specification and development of an Edge Computing architecture to enable edge AI and distributed learning. - Semantic Middleware Integration: Participate in