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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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). 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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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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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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13th February 2026 Languages English English English Development Centre for Weather Forecasting, The Norwegian Meteorological Institute (MET Norway) PhD student - Multisource data integration
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Ant Digital Twins for food safety. This is a 3-year position linked to the D-CRISP project . The candidate is to research, develop and demonstrate a methodology for building and integrating digital
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entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical
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- and chemogenetic manipulation, and ex vivo patch-clamp electrophysiology. The candidate will train mice in various decision-making tasks and record the activity of different interneuron populations
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where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI