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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and genes underlying responses to altered temperatures and parasite (co-)infection. We
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cell walls, which have been implied in responses to the two parasites. We will also use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and
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models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks that support the human learning and improving
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models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies. The approach followed encapsulates Design-Based
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involve applications of the existing framework and advancement in the interface towards integrated assessment and energy system models for scenario analysis. The selected candidate will join a team of
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- who seek to integrate their perspectives to advance Global Strategy and International Business research. E-mail: bjorn.schmeisser@nhh.no Business Model Innovation Business model innovation (BMI) has
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24th November 2025 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Marine Cybernetics on AI-Modeling for Prediction of Waves and Sea Loads
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. The objective of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is
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Fotograf Morten Hjertø 21st November 2025 Languages English English English We are looking for a PhD Candidate in Hybrid Dynamical Modelling for Ship Response Predictions Apply for this job See