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structure of these networks shapes response diversity and ecosystem resilience. Using network analysis and community detection methods, the project will identify groups of species based on their
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Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group
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AI and machine learning to ecological questions. Experience with scientific programming, quantitative analysis, or computational modelling, preferably using R, Python, C++, or comparable tools
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looking for a highly motivated person with a passion for driving research development forward. The ideal candidate has a solid background in data analysis, excellent problem-solving skills, and
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services. This involves applying and further developing methods such as actor-network analysis, as well as conducting empirical studies, including interviews, workshops, and other forms of qualitative
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using advanced data analysis techniques, and contribute to the development of new computational tools and methodologies. The research combines fundamental fluid mechanics with modern AI methods and
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-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp