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and Technology in the Danish and German Primary and Secondary Schools” with a primary focus on the teacher’s role as well as knowledge, competences, and skills needed for the teacher to conduct teaching
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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approaches for the computational analysis of time-resolved data on reactions, contribute to teaching and supervising BSc and MSc student projects Qualifications You must have a two-year master's degree (120
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Associate Professor Christian Damsgaard, Professor Jakob
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. Experience with mixed methods is an advantage to the position. Data collection will be conducted in Danish and applicants able to understand and read and speak Danish or other Scandinavian languages is
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electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Strong problem-solving skills and the ability to collaborate in interdisciplinary teams. Excellent command
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results. The ability to work collaboratively in a team with an open-minded spirit, embracing both teaching and learning opportunities. A genuine interest in discussing physics and engaging in thoughtful
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Henning
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systems To disseminate your research in conferences and high-impact journal papers. To contribute to the education and supervision of Bachelor and Master students. Strong collaboration with industry and
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assist in preparation and testing of the platforms at the partner institutions collaborate with an interdisciplinary research team in a focused scientific effort contribute as teaching assistant at DTU