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project, aims to contribute to the development and preclinical evaluation of new platinum-, palladium-, and nickel-based anticancer metallodrugs, using metabolomics approaches based on Nuclear Magnetic
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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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range of methodological approaches is relevant for the theme, including qualitative case studies, optimization models, system dynamics modelling, and agent-based modelling. Please note that the project
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Technology PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology Starting date: preferably in 2026, by agreement Project 6: Multi-agent knowledge bases Employment: UiT
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: Multi-agent knowledge bases Employment: UiT - The Arctic University of Norway, Department of Physics and Technology PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration