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(potentially based on AI agents) capable of coordinating both tools, deciding when to trigger drone inspections, and synthesising maintenance recommendations with precise spatial localisation. BINDING
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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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, 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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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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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts