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wide differences within human gut bacteria species in early childhood. Our goal is to improve the understanding of adaptive mechanisms employed by different gut bacteria at a high resolution to guide
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environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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could be general machine health as well as specific fault and failure signals. The aim of the project is to develop knowledge and understanding of the relationship between tribological signals (especially
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with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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the second year onwards. The funded period of doctoral study is then extended accordingly. For more information about doctoral studies: https://www.umu.se/en/research/research-with-us/doctoral-studies/ https
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab