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of this particular PhD fellowship is to develop innovative applications, tools and models for AI game-based learning. Further, in collaboration with a postdoc, the candidate should establish models, frameworks, and
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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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to develop state-of-the-art multi-agent communication protocols and innovative educational technologies based on it. Further, in collaboration with a postdoc, the candidate should establish models
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mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models by comparing
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description of steroid enzyme mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models
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or improved methods on how to include the impact of degradation in models and process simulations Assessment of the results, including evaluation of simplifications and uncertainties and their impact on
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two or more of the listed subjects: control engineering, systems engineering, marine technology, statistics, system modelling and simulation, safety/risk science, human factors. Your education must
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postdoc, the candidate should establish models, frameworks, and technologies to create interactive, and adaptive learning experiences, and evaluate these. Duties of the position The candidate will be a
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two or more of the listed subjects: control engineering, systems engineering, marine technology, statistics, system modelling and simulation, safety/risk science, human factors. Your education must
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modelling. ClampIT builds on the experience from the DynaLoad project and brings together a strong consortium covering the entire transformer value chain, including: Sensor and material suppliers: COMEM