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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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candidate in AI for marine systems design and operation, connected to the newly established Norwegian Maritime AI Centre. The position aims to advance how artificial intelligence supports design and
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systems design and operation, connected to the newly established Norwegian Maritime AI Centre. The position aims to advance how artificial intelligence supports design and operational planning processes
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artificial intelligence tools were used in preparing your application. If so, the statement should specify which tools were used and provide an account of how and for what purposes they were applied
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activities in interdisciplinary areas—mechanics, materials, and artificial intelligence. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with
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invites applications for a PhD position focused on developing a theoretical framework for monitoring and updating adaptive learning systems (including machine learning/artificial intelligence systems) under
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. Augmented 3D training sets using generative artificial intelligent approaches: Implementation of robotic systems based on AI approaches within production lines typically necessitates periods of training
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participate in the project activities. Your immediate leader will be the Head of the Signal Processing group. About the project SURE-AI: a National AI initiative: Six national research centres for Artificial
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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. Digitalization and AI are transforming society at an unprecedented pace. Integrating artificial intelligence (AI) into the maritime industry is not just a trend but a shift that is redefining the future
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. The PhD project is titled: “Artificial Intelligence for Personalised Digital Health: Targeting Enhanced Engagement, Health Outcomes and Maternal Support Perception for Women at Risk of GDM”, linked