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research methods are used in the project. Teaching may be included in the doctoral position. At most, teaching can amount to 20% over the entire four-year period, and if included, the doctoral period is
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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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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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