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We are looking for a motivated PhD candidate in the social and behavioural sciences with a quantitative background for the project “Technostress amongst teachers in primary education”. The aim
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to contribute (~10% of total workload) to the teaching and supervision of Bachelor and Master students. The position will be supervised by Prof. Nima Monshizadeh and Prof. Bayu Jayawardhana, and the candidate
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compared and contrasted with existing databases. Quantitative techniques for data analysis that will be used include principal component analysis, cluster analysis, and multiple regression analysis
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the research project, the candidate is expected to contribute (~10% of total workload) to the teaching and supervision of Bachelor and Master students. The position will be supervised by Prof. Michele Cucuzzella
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general education by the University Graduate School and can be involved in activities like teaching practicals for a small part of your time and co-supervise graduation project at the bachelor and master
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.). References (contact information) of two scientific staff members (such as the supervisor of your master thesis/final project) who can to provide a recommendation letter at our request. The first round of
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of structural sizes based on scattering measurements with different wavelengths. Your main focus will be the development of software and analysis tools, but you will closely work together with the experimental
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heating, hydrogen networks) and traffic networks. Apart from the research project, the candidate is expected to contribute (~10% of total workload) to the teaching and supervision of Bachelor and Master
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group’s future research activities. This will be done in close supervision from the PI, and there is also the opportunity to help train master and bachelor project students. Involvement in teaching is a
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expertise. Connect your data to ML and AI databases. Involve students in your project and supervise them (Master, Bachelor, interns). Disseminate your research output at conferences and with scientific papers