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. The data-driven life science initiative Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our
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various diseases, increased knowledge is needed about the mechanisms that control the maturation of inflammatory cells in the bone marrow, the inflammatory processes in tissues, the associated blood
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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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
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The assessment criteria for appointment as an assistant professor at KTH are stated in KTH’s appointments procedure section 1.3, and apply in relation to the employment profile laid down. Of highest importance is
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and