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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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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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. 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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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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management, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in optimisation, microeconomics, scientific methods Elective courses in operations research
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, shipping, predictive modelling, or climate risk Elements from the two tracks can be combined. For more information about the Department of Business and Management Science and its research profile, visit
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for the position. Preferred selection criteria Bachelor’s degree in civil engineering Experience in analytical methods and numerical modelling Proficiency in at least one programming language, e.g. C++, Python
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management, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in optimisation, microeconomics, scientific methods Elective courses in operations research
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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