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. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis. This doctoral student position is particularly
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training to the Swedish life science research community, with a strong national and international collaborative network. The main responsibilities are to: Carry out advanced data analyses within nationally
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activities will focus on studying the role of the plant hormone cytokinin in controlling adventitious root development in Arabidopsis thaliana. Interconnected transcriptional and hormonal networks control
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collaborative culture. Here, early-career researchers are given the conditions to grow, build networks, and contribute to research with global relevance. This position is part of the University of Gothenburg’s
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). Therefore, the successful postdoc will have excellent opportunities to develop a large collaborative network and address broad questions that no individual lab can tackle alone. The postdoc will be primarily
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to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society. These systems
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Help us turn DNA into a programming language DNA is famous as the code of life — but it is also a programmable material, an unexpected bridge between the digital and the living. By choosing
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of Food and Nutrition Science, with access to both international academic and industrial networks. Influence the direction of a strategically important initiative in data-driven nutrition and health. Be
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larger project, BiWPT, funded by EU under MSCA doctoral network. The BiWPT project has a mission to train a new generation of experts who possess the skills and fundamental knowledge required
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European doctoral network developing increased understanding of, and computational tools for studying the effects of defects in composite structures. About us The Doctoral student position is placed