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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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analysis of novel model-based behavioural, and neuroimaging (fMRI/MEG) experiments in healthy people to examine the brain mechanisms of motivation and apathy. In addition, the post holder may also be
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, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models) Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g., ArcGIS, QGIS
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tool based on inverter data and digital twin models, enabling the correlation of string-level anomalies with module-level fault localisation. Validation of the integrated system in real photovoltaic
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, or as soon as possible thereafter. Salary will be grade 7. The main focus of this role will be on the design, collection, and analysis of novel model-based behavioural, and neuroimaging (fMRI/MEG
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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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itself where code is increasingly being automatically produced by GenAI-based coding co-pilots and agents. Considering the pivotal and increasingly critical role of software in society, the prospect
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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