34 natural-language-processing-phd PhD positions at NTNU Norwegian University of Science and Technology
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application process here. About the position The Department of Materials Science and Engineering (IMA) at the Natural Science Faculty, has a vacancy for a position as PhD candidate related to modelling
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A three-year PhD position in computational condensed matter physics is
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A three-year PhD position in theoretical condensed matter physics is
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A PhD position, fully funded for three years
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about working at NTNU and the application process here. About the position The PhD research project is part of the new Norwegian Maritime AI Centre, led by NTNU. Digitalization and AI are transforming
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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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Doctoral Programme (https://www.ntnu.edu/nv/phd ) Excellent communication skills in written and spoken English PLEASE NOTE: For detailed information about what the application must contain, see paragraph
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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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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position PhD project: Intra-body Semantic Communication
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The PhD candidate will work on advanced characterization of aluminium