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machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid understanding of fluid dynamics and heat transfer, as
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given to the ability to assimilate third-cycle courses and study programmes at a higher education. The applicant should have documented knowledge in energy systems and machine learning technologies
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of education, teaching and learning. Didactics includes questions about content, different educational contexts, and how content is legitimised. Furthermore, scientific didactics investigates the forms
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Technologies” is seeking four to five doctoral students in didactics. Research in didactics deals with issues of education, teaching and learning. Didactics includes questions about content, different