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literature, articulate targeted problem formulations, select appropriate methodology and methods, collect data, and systematically and critically analyze the findings from your studies. During this PhD journey
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science. Applicants with one or more of the following skills/qualities will be considered with priority: experience and/or thorough understanding of theoretical/numerical methods for simulating optical
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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(DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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on sustainable chemistry but also advanced analytical methods of chemicals and materials. The department has a very well-developed research infrastructure with state-of-the-art equipment with qualified support
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, integrating microfabrication, cell component and biomaterial incorporation, staining of specific biological features, and computational modelling of intrinsic properties. The evaluation of results and further
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magnetic resonance (NMR) spectroscopy will be the main applied methods. As a PhD student you will be expected to conduct independent research in line with the research focus. The work assignments
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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