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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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, a lot of digital traces are left for those in the form of technical drawings stored in different file formats (e.g. TIFF, PDFs). In addition, more complex models such as 3D representations of products
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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for machine learning models to optimise membrane properties, structure, and fabrication. The fellow will play a key role in the experimental part of the project, including: Preparation and characterisation
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multidisciplinary team of combustion scientists, engine engineers, and modeling experts. Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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reflection interpretation (2D regional and 3D blocks), potential field modelling, and plate reconstructions. The total duration of the Ph.D. position is three years, starting by August 1st 2026. The PhD
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to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will
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might alternative or hybrid solutions provide advantages? The candidate is expected to take initiative to narrow the research scope toward concrete applications. Prototype information models and