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Field
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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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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, including backend services, APIs, and databases. Hands-on experience integrating Large Language Models, RAG pipelines, embeddings/semantic search, and AI agents into working systems. Experience with cloud
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and table selection; SQL generation and execution; semantic filtering and information extraction; entity matching and data integration; aggregation, verification, and result explanation. For software
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
period of up to 30 months to contribute to the ARC Discovery Project, focusing on goal-oriented semantic wireless communications within the Information and Signal Processing Cluster at the School
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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) at LISN (Semantics and Information Extraction group) in Orsay. B. Cecconi will contribute disciplinary expertise in heliophysics and manages a dedicated data repository for radio astronomical observations