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PhD candidate in AI-driven ship design, connected to the newly established Norwegian Maritime AI Centre . The position aims to advance how artificial intelligence support ship design processes
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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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maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd
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suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral and written presentation skills in English is mandatory
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, and validating methods for synthetic data generation that enable secure and trustworthy data sharing and exchange for learning applications. The fellow will design approaches that ensure high data
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challenges. Perform systematic literature reviews on AI applications in cybersecurity, human-AI interaction, and ethical governance. Design and evaluate interfaces and methodologies for integrating operator
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short period of time, we have naturalized the use of single-use products and then forgotten there was ever any alternative. Today there is growing international recognition that we need to move to a more
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lifetimes for BIPV systems, aiming to provide insights for informed decision-making regarding design, installation, and maintenance in Norway. Robust solutions and next-generation BIPV: Conceptualise
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for informed decision-making regarding design, installation, and maintenance in Norway. Robust solutions and next-generation BIPV: Conceptualise innovative and robust BIPV components, drawing insights from
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application