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shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven
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discussions, ensuring continuous learning and vibrant scholarly exchange. Comprehensive Skill Development: Alongside academic training, you will acquire transferable skills essential for professional success
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cookie and refresh page to watch video, or click here to open video) About the position At the Department of Design at NTNU we educate designers with an understanding of technology and society
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of Marine Technology , as part of the Norwegian Maritime AI Center (MAI) at NTNU . As a PhD candidate, you will conduct research to develop AI-driven methods for efficient methods for simulation-based testing
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among these traits, and 3) identifying genetic markers and developing genomic prediction models for maturation-related traits. The successful PhD candidate will be heavily involved in this work, which is
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into manufacturer-specific tools. This PhD project aims to redefine how tunnel data is interpreted, integrated and utilized. One research path can be to develop a complete digital workflow that transforms raw data
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Grid (CoordQ), led by the University of South-Eastern Norway (USN) in close collaboration with NTNU and industry partners. The project aims to develop advanced solutions for coordinated voltage and
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sustainability, particularly in locations where environmental conditions and load patterns change significantly throughout the year. A key challenge is developing resilient PV and battery systems — solutions
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PhD position that gives you the opportunity to develop a strong profile as researcher. The 3-year PhD position is associated with a European Research Council/Horizon Europe research project, entitled