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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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effects, assess the exposure and health risks to humans, and develop technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox About the team We are looking
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, semantic enrichment, and AI-assisted generation of descriptions. Analysis, development, implementation, deployment, and testing of the Hub's execution infrastructure, including the management of virtual
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systems, data engineering, semantic interoperability, privacy-preserving data analytics, artificial intelligence or related fields. Your duties and responsibilities in this 4-year project include: analysing
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user requests into dataflows, API calls, analytics workflows, and robotic actions across distributed IoT, drone, and agri-robot ecosystems. It will address challenges such as semantic grounding
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. They will oversee the design and delivery of semantic models, dashboards and strategic reports, ensuring the provision of accurate, timely and trusted management information across the University. This is an
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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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expertises including GeoAI, geo-semantics, cognitive/behavioral geography, geographic information retrieval, social sensing, knowledge graphs, geocommunication, and geo-visualization. Our topical and cultural
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
infrastructures such as IPFS (https://ipfs.io/ ) and Matrix (https://matrix.org/ ) on which we can plug replication mechanisms for file system synchronisation. Data replication algorithms have to be reliable (i.e
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individual plant species in UAS imagery, including convolutional neural networks (CNNs), object detection models, semantic segmentation workflows, transfer learning approaches, and multi-temporal image