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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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of ancient DNA databases for common variants in genes influencing HBGA expression, we will track their frequency changes in human populations over historical times. Integrating these findings with historical
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. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
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://liu.se/en/research/remeso/research-fields Your qualifications You have graduated at Master’s level in the Social Sciences or Humanities or completed courses with a minimum of 240 credits, at least 60 of
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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humanities and social sciences of central relevance to the Culture and Society research environment, or who have acquired equivalent knowledge abroad or through an earlier degree. Previous engagement with