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outstanding working and living conditions. This youthful city is situated beside a large river, surrounded by forests and lakes, and is near the sea. The area offers numerous opportunities for both indoor and
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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of extremist messages, or the use of social media or AI in politically motivated criminal practices. The dissertation work may be conducted using qualitative, quantitative, or mixed methods, and should connect
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected
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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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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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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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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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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