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scientific knowledge of teacher education, school and early childhood education and care, and socialisation. The programme develops theory of knowledge in teacher education as a separate field of research
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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proposal of 5-8 pages must accompany the application. The proposal should present the topic, the research problem(s) and choice of theory and methods. The proposal should also include a progress plan for the
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ethical awareness, and by theoretical and methodological pluralism. It offers three mandatory courses, each 5 ECTS, in philosophy of science, method and innovation, which introduce basic theories and
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to which you are seeking admission. Project proposal: A research proposal of 5-8 pages must accompany the application. The proposal should present the topic, the research problem(s) and choice of theory and