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supported by the SAILING project and will focus on developing advanced AI-enabled methods for uncertainty analysis and quantification to support high-fidelity IoE digital twins. The research will investigate
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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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6th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Trustworthy AI-Enabled Signal Analysis for Next-Generation Wireless Systems
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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) is entitled Multiscale and multimodal spectral image acquisition, integration, analysis and visualization. Objectives: This project will develop strategies for the acquisition, integration, analysis
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, analysis and visualization. Objectives: This project will develop strategies for the acquisition, integration, analysis and visualisation of spectral images, for scientific analysis of wall paintings
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, or simulation-based evaluation Background in optimization, resource allocation, scheduling, or graph-based network analysis Exposure to resilience, reliability engineering, or security analysis (including
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., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis, or simulation-based evaluation Background in optimization, resource allocation, scheduling, or graph
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, whenever appropriate, be implemented within static code analysis tools, such as a compiler. This project is planned as a collaboration between NTNU and another academic institution based in Italy. The
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in English Solid knowledge in finite element analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks