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thorough understanding of theoretical/numerical methods for simulating optical phenomena, experience in fabrication and/or characterization of micro- or nanostructures, hands-on experience with fiber-optic
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. Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both
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own research question within this area. The project is mainly intended for quantitative methods but is to some extent also open to qualitative methods. As a doctoral student, you will read doctoral
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and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of
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groups based on demographic, socioeconomic, and medical factors. You will mainly work with advanced epidemiological methods such as self-controlled case series (SCCS) and survival analyses, using Swedish
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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methods is a requirement for this position. Since the research will be conducted in an international research environment, a good knowledge of English in speech and writing is essential. You will work
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students at the Faculty of Medicine attend the doctoral education program. More information about the program can be found at Doctoral studies at the Faculty of Medicine. Background and description of tasks
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cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods