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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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new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in artificial intelligence
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of AI, develop new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in
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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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Theory and Principles for Receiver Design This PhD project aims to develop a theoretical framework for biocommunication using semantic communication theory and principles. The foundational framework will
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. Collaborating closely with SINTEF and industrial partners (Hydro and Benteler) to provide input for alloy design and processing strategies. The work will be done at the Trondheim node of NORTEM/TEM Gemini Center
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new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in artificial intelligence
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of the Data and Artificial Intelligence unit at the Department of Computer Science. About the project The position is funded by the Norwegian Research Center for AI Innovation - NorwAI - and will be based
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methods and study designs Experience with the study of plant-plant or plant-invertebrate interactions Experience in nematology or nematological methods Strong quantitative skills (e.g., generalized linear