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models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in fluid dynamics and heat transfer to study multiphase
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cycle Assessments. The position will be also focusing on the development of digital methods for accelerating the renovation potential of old constructions. The candidate will mainly focus on research
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of teaching and learning (methods and models) as well as its actors (teachers and pupils/children) and their relationships. The research school is linked to a training environment for teacher education, where
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educational contexts, and how content is legitimised. Furthermore, scientific didactics investigates the forms of teaching and learning (methods and models) as well as its actors (teachers and pupils/children
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and