30 algorithm-development-"UCL" PhD positions at NTNU Norwegian University of Science and Technology
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project will investigate quantum many-body phenomena in novel two-dimensional magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced quantum field
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project will explore quantum many-body phenomena in emerging two-dimensional magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced computational
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develop learning-based methods for maritime tracking and prediction in time- and safety-critical applications. Artificial intelligence techniques will be utilized in order to improve detection capabilities
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NTNU and the application process here. About the position The aim of this PhD project is to develop explainable physics-informed RNNs for autonomous navigation and neural observer design within
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project partners Contribute to the development, implementation, and validation of AI-based design tools and methods relevant to ship design Develop academic publications and popular science dissemination
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distribution. Developing and applying high-throughput data analysis methods for TEM experiments. Investigating corrosion initiation and propagation mechanisms and linking them to alloy composition and processing
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of repurposed batteries is limited. Developing a robust recycling process capable of accommodating diverse battery types, designs, chemistries, and other variables is therefore essential. In view
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in Marine Technology, together with more than 60 PhD students from all over the world. With the IMO goal of zero emission shipping in 2050, shipowners face the challenging task of developing
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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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-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