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is not a standalone concept and has close connections to diversity, transparency and bias. In this position, the PhD candidate will work on algorithmic fairness in job recommender systems
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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Development Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
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). The main aim of this PhD project is to develop mathematical models relevant for processes at the anode of aluminium electrolysis cells, with emphasis on evolution of bubbles, including the so-called “anode
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Stig Brøndbo 18th January 2026 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping
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Maritime Organization (IMO). The Advanced Maritime Ship Operations research group is dedicated to developing and showcasing digital twin models for selected vessels through extensive ship performance and
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contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. About the position: At the Department of Natural History, University Museum of Bergen
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-resolution wearable sensor streams, and endocrine test outcomes. Intelligent Artifact Detection: Develop cutting-edge Machine Learning algorithms to automatically identify, flag, and mitigate data artifacts
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, develop innovative co-creative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See www.mishmash.no for more information. The
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, is available at the Department of Biology of the Norwegian University of Science and Technology (NTNU), Trondheim. The Vandegehuchte lab is part of the Biodiversity, Ecology, and Evolution (BEE