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model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate will also design and develop new software and prototype models
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outcomes Synthetic data generation (virtual patients) Statistical model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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selection criteria You must have a relevant Master's degree in [subject area] or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained
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to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will
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analytical modelling, to develop decision support for design and plan of cost-effective and sustainable systems, to study the interactions in such industrial systems and analyze the domain of solutions
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the master's degree must have been submitted before starting the position, and no later than July 1st, 2026. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been
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by the Research Council of Norway and the partners for the period 2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https
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application process here. About the position The Department of Materials Science and Engineering (IMA) at the Natural Science Faculty, has a vacancy for a position as PhD candidate related to modelling