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Field
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Experience with knowledge graphs, graph databases, or semantic web technologies (e.g., RDF, SPARQL, Neo4j). Background in natural language processing, LLMs, or information extraction. Familiarity with XAI
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Application deadline: 26 April 2026 Apply now Strengthen the Adapt! project with digital-historical research into the big history of crisis! As a PhD candidate, you will work under the supervision of Prof
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Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
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10 Apr 2026 Job Information Organisation/Company Université catholique de Louvain Research Field Communication sciences » Media studies Computer science » Other Language sciences » Linguistics
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performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future; we invent it. If you're passionate about joining a community that
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accelerates its adoption of AI, this architect will ensure foundational data structures support feature reuse, semantic consistency, trusted access patterns, and scalable integration with AI and LLM‑driven
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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Job description: At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan