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- NTNU Norwegian University of Science and Technology
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simulation) is advantageous. Experience handling geological, geotechnical, or mining datasets, including drill hole data, structural mapping. Familiarity with GIS platforms, 3D modelling software, or digital
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systems based on absorption high-temperature heat pumps, with particular emphasis on dynamic behavior and system integration. The research will combine dynamic modelling, numerical simulation, and
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and digital transitions, often referred to as the twin transitions. Across Europe, governments, industries and public institutions increasingly rely on scenarios, models, indicators, roadmaps and
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on AI-empowered asset management using drone inspections and available asset management historical data. The aim is to enhance the asset and network resilience of ports by training an AI model on ferry
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analyses or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of
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individual health / innovation processes within the healthcare sector New business models and digitalization/the impact of AI Innovation and entrepreneurship for sustainability and the circular economy Open
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research within and beyond academia. The PhD candidate will contribute to furthering the development of key ecological impact models within the field of life cycle assessment. IndEcol is a pioneer in the
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sociopolitical drivers, and modelling tools that cover the entire Arctic Ocean, and extensive international research collaboration. As part of Arctic Ocean 2050, you will join an ambitious research environment
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environmental pollution associated with human activities, assessing the environmental aspects of different technologies and modeling society’s use of materials. IndEcol combines world-class competence in Life