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Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and integration of heterogeneous data sources; - Design, development, and integration of Agentic RAG architectures
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, electric vehicles, micromobility), integrating heterogeneous data (flows, emissions, accessibility, socioeconomic and health indicators); - develop equity-aware multi-objective optimization methods, ensuring
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The position An exciting PhD position is available at the Department of Computer Science at UiT The Arctic University of Norway. The position is associated with the Visual Intelligence centre of excellence in
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30th April 2026 Languages English Norsk Bokmål English English PhD Fellow in Machine Learning Apply for this job See advertisement About us The Nansen Center is a Norwegian environmental research
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is a multi-campus comprehensive university at the international forefront. Our vision is to be a driving force for developing the High North. The Northern Sami notion eallju, which means eagerness
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. You will receive advance notification in the event of such publication, if you have requested non-disclosure. Eallju - Developing the High North UiT The Arctic University of Norway is a multi-campus
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
, the Norwegian version takes precedence. Eallju - Developing the High North UiT The Arctic University of Norway is a multi-campus comprehensive university at the international forefront. Our vision is to be a
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related to staff position within a Research Infrastructure? No Offer Description Research areas: aerial robotics, advanced sensing and multi-source remote sensing, drones In the University of Burgos we
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-disclosure. Eallju - Developing the High North UiT The Arctic University of Norway is a multi-campus research university and the northernmost university of the world. Our central location in the High North
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery