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24th November 2025 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Marine Cybernetics on AI-Modeling for Prediction of Waves and Sea Loads
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” the physics of the sea environment and ships, as part of a maritime AI research centre at NTNU. Your supervisor will be Professor Roger Skjetne, and your immediate leader will be Head of Department. About the
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of genomic data (NGS). The aim of the project is to enhance understanding of the role of genomic variation in coastal species, as well as the drivers of change. The position is part of a strategically funded
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Study as the primary data source, we will examine genetic variation associated with ALS, and phenotypic characteristics of carriers of genetic risk variants on a population level. The position is funded
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-boundary value problem is reformulated in such a way that loads, boundary conditions and constitutive models are completely or partially replaced by some form of experimental data. The research activities
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. The position’s field of research Digital twin technology for ocean-going vessels is key to meeting the decarbonization goals set by the International Maritime Organization (IMO). The Advanced Maritime Ship
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within a reasonable time after receiving the offer. The position’s field of research Digital twin technology for ocean-going vessels is key to meeting the decarbonization goals set by the International
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Spring 2025 Master’s degree graduates that are not currently enrolled in a PhD-program are welcome to apply for admission in individual PhD-courses. Please visit the course websites for information on how
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working environment in our brand-new Ocean Technology Center in Trondheim Career guidance and follow-up during the PhD period Open and inclusive work environment with committed PhD colleagues and social
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facilities, and a dynamic business environment. With its strategic location by the sea, Ålesund provides a perfect balance between urban living and natural experiences. Here, you will find excellent schools