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Field
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themselves and the autonomy stack that powers them. Outdoor robots operating in large open areas (e.g., airports, agricultural sites, or remote coastal regions) face a fundamental limitation: LiDAR-based
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Library’s URM by updating and deleting records as required. Manipulate large files of data using specialized software, to add unique local information, and to provide quality control. Partner and work in
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or RioXarray is essential. You should have knowledge of semantic segmentation, time-series analysis and modern AI approaches together with a developing publication record appropriate to your career stage
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 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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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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-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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, 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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letter): XAI for Computer Vision (in particular object detection and semantic segmentation models) XAI for Large Language Models (LLMs) XAI for Multi-Agent Systems (MAS) Physics-Informed Neural Networks
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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
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relational database technologies, including T-SQL, stored procedures, query optimization, and performance tuning for large datasets. Proficiency in Python for data extraction, transformation, automation