2,420 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions
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an observatory of these ecosystems and to develop data-driven methods that make their activity legible: characterising how illicit practices emerge, stabilise, and spread across platforms, communities, and
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Develop and validate agent-based policy models representing relevant decision-makers and institutions in EU policy contexts, including the Common Agricultural Policy, Nature Restoration Law, and Corporate
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Models at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep
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23rd September 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Efficient Edge Intelligence Models Apply for this job See advertisement
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in
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uncertainties can affect the effectiveness of emergency response operations. The objective is to develop a multi-agent model of emergency response operations during flash floods, in order to study how the use
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design possible in which even the small details can be readily incorporated into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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heterogeneities and depositional facies on the distribution and extent of alteration processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct