6 algorithm-development PhD positions at NTNU Norwegian University of Science and Technology
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to develop generative AI methods that are applicable for data types beyond text and images (e.g., dynamic graphs), and the successful candidate will be given high level of independence when it comes
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overpressurization and energy losses. Therefore, an effective thermal insulation is critical for LH2 storage systems. As PhD Candidate, we want you to support ongoing international research projects on the development
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forces with 15 partners from industry, universities, and research institutes. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology
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the technical vulnerabilities and building the cascading process of specific NATECH events in the offshore industry developing indicators and algorithms for analyzing the frequency and impact of typical NATECH
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/software, and iteratively testing via case studies. The development of these components entails careful consideration and interdisciplinary work (collaboration with the other 3 PhD fellowships and teams from
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-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated electrification and increased use of the existing grid. Reaching these goals requires