17 postdoctoral-modelling PhD positions at NTNU Norwegian University of Science and Technology
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-impact career paths in research and higher education, within academia, research institutes, or industry. We will employ a PhD candidate to perform research on development of an AI model that “understands
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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. Developing innovative separation processes is expected to positively impact the circular economy and enable Sustainable Business Model (SBM) innovation. The current project's goal is to contribute
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regulations that provides both incentives and constraints for the maritime energy transition and emission reduction. The research objective of the PhD is to develop models that capture the interaction between
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seasonal emissions such as winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain
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the partners of NorwAI , but also with PhD candidates and other postdoctoral fellows at the center and the department as a whole. Duties of the position Complete the doctoral education until obtaining a
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will develop models to understand non-equilibrium transport of orbital angular momentum in superconducting hybrid structures. This is part of an effort to determine the merits of superconducting
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, including designing, developing and evaluating systems and models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and