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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade
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collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate
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new colleague at Department of Microsystems at Faculty of Technology, Natural Sciences and Maritime Sciences. The position is available from 03.08.2026. This is an educational position that is primarily
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data challenges. Responsibilities Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment Develop multi-agent or RAG-style (retrieval
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the course of their fellowship period within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one
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to the successful completion of a PhD degree. For more information, please see our web site: https://www.uv.uio.no/forskning/phd/ The appointed candidate will be part of a dynamic and interdisciplinary research
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og